# Best Time Series Databases - Page 2

*By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)*


Time series databases allow businesses to store time-stamped data. A company may adopt a time series database if they need to monitor data in real time or if they are running applications that continuously produce data. Some examples of applications that product time series data include network or [application performance monitoring (APM) software](https://g2.com/categories/application-performance-monitoring-apm) tools, sensor data from IoT devices, financial market data, and a number of security applications, among many others. Time series databases are optimized for storing this data so that it can be easily pulled and analyzed. Time series data is often used when running predictive analytics or machine learning algorithms, enabling users to understand historical data to help predict future outcomes. Some [big data processing and distribution software](https://g2.com/categories/big-data-processing-and-distribution) may provide time series storage functionality.

To qualify for inclusion in the Time Series Databases category, a product must:

- Store data based on timestamps
- Consume data in real time
- Allow users to easily pull the data for time series analysis






## G2 Grid® for Time Series Databases
![G2 Grid® for Time Series Databases plotting products by satisfaction and market presence](https://www.g2.com/categories/time-series-databases/grids.png?focus%5B%5D=16850&focus%5B%5D=78768&focus%5B%5D=6114&focus%5B%5D=113016&focus%5B%5D=1220290&focus%5B%5D=87436&focus%5B%5D=131714&focus%5B%5D=17329)
Highlighted products: CrateDB, Tiger Data, KX, InfluxDB, TDengine, Amazon Timestream, QuestDB, and Prometheus.
Underlying data: [Grid® JSON](https://www.g2.com/categories/time-series-databases/grids.json?focus%5B%5D=cratedb&focus%5B%5D=tiger-data&focus%5B%5D=kx-kx&focus%5B%5D=influxdata-influxdb&focus%5B%5D=tdengine&focus%5B%5D=amazon-timestream&focus%5B%5D=questdb&focus%5B%5D=prometheus)


## How Many Time Series Databases Products Does G2 Track?
**Total Products under this Category:** 52

### Category Stats (Jul 2026)
- **Average Rating**: 4.46/5 The average rating of products in this category, based on all submitted ratings

*Last updated: July 14, 2026*


## How Does G2 Rank Time Series Databases Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 1,100+ Authentic Reviews
- 52+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.


## Which Time Series Databases Is Best for Your Use Case?

- **Leader:** [Tiger Data](https://www.g2.com/products/tiger-data/reviews)
- **Highest Performer:** [dataPARC](https://www.g2.com/products/dataparc/reviews)
- **Easiest to Use:** [dataPARC](https://www.g2.com/products/dataparc/reviews)
- **Top Trending:** [Epsilon3](https://www.g2.com/products/epsilon3/reviews)
- **Best Free Software:** [InfluxDB](https://www.g2.com/products/influxdata-influxdb/reviews)


---

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[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1761&secure%5Bchosen_at%5D=2026-07-15T22%3A21%3A33Z&secure%5Bdisplayable_resource_id%5D=1761&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1761&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=6173&secure%5Bresource_id%5D=1761&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Ftime-series-databases%3Fpage%3D2&secure%5Btoken%5D=f06c563f1067cef2f5a8071d8beaec29c7b1a8794db0102ab37a7a71443a2d15&secure%5Burl%5D=https%3A%2F%2Fraima.com%2Fdownload-trial%2F%3Futm_content%3Dproducts-raimadb-reviews%26utm_medium%3Dreferral%26utm_source%3Dg2&secure%5Burl_type%5D=free_trial)

---

## What Are the Top-Rated Time Series Databases Products in 2026?
### 1. [Hazelcast Platform](https://www.g2.com/products/hazelcast-platform/reviews)
Hazelcast Platform is the Live Data Platform that delivers data at the speed of relevance, providing the in‑memory foundation for applications that act on data the instant it's created—ensuring businesses never miss a moment of opportunity. By converging distributed caching, compute, stream processing, and real‑time AI into one low‑latency runtime, Hazelcast delivers sub‑millisecond performance, linear scalability, and enterprise resilience. Global 2000 firms trust Hazelcast to simplify architectures, reduce costs, and power mission‑critical, time‑sensitive applications.


**Average Rating:** 4.3/5.0
**Total Reviews:** 12
**How Do G2 Users Rate Hazelcast Platform?**

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10)
- **Ease of Admin:** 8.0/10 (Category avg: 8.3/10)
- **Quality of Support:** 8.7/10 (Category avg: 8.8/10)

**Who Is the Company Behind Hazelcast Platform?**

- **Seller:** [Hazelcast](https://www.g2.com/sellers/hazelcast-9a5fe385-0ae1-4f16-99b0-f9f0ee1a4194)
- **Year Founded:** 2010
- **HQ Location:** Palo Alto, US
- **Twitter:** @hazelcast (9,354 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/hazelcast/ (148 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 54% Small-Business, 23% Mid-Market


#### What Are Hazelcast Platform's Pros and Cons?

**Pros:**

- Ease of Use (1 reviews)
- Fast Processing (1 reviews)
- Flexibility (1 reviews)
- Performance (1 reviews)
- Performance Efficiency (1 reviews)

**Cons:**

- Learning Curve (1 reviews)
- Navigation Difficulty (1 reviews)
- Not User-Friendly (1 reviews)
- Poor UI (1 reviews)
- Time-Consuming (1 reviews)


### What Do G2 Reviewers Say About Hazelcast Platform?
*AI-generated summary from verified user reviews*

**Pros:**

- Users appreciate the **ease of use** of Hazelcast Platform, finding it fast and efficient for distributed systems.
- Users appreciate the **fast processing** of Hazelcast Platform, solving issues efficiently in distributed systems.
- Users appreciate the **flexibility** of Hazelcast Platform, finding it fast and efficient for various distributed system needs.
- Users appreciate the **high performance and low memory usage** of Hazelcast Platform, effectively solving distributed system challenges.
- Users appreciate the **fast performance and low memory usage** of Hazelcast Platform, resolving distributed system challenges.

**Cons:**

- Users find the **learning curve challenging** , requiring more time to familiarize themselves with Hazelcast Platform's layout.
- Users find **navigation difficult** , requiring extra time to locate features within the Hazelcast Platform.
- Users find the platform **not user-friendly** , requiring extra time to navigate and locate necessary features.
- Users find the **poor UI** of Hazelcast Platform makes navigation challenging and increases the time needed for coordination.
- Users find the **time-consuming coordination** required for navigation in Hazelcast Platform to be a drawback.

#### What Are Recent G2 Reviews of Hazelcast Platform?

**"[Memory saver](https://www.g2.com/survey_responses/hazelcast-platform-review-4512406)"**

**Rating:** 5.0/5.0 stars
*— Verified User in Marketing and Advertising*

[Read full review](https://www.g2.com/survey_responses/hazelcast-platform-review-4512406)

---

**"[Hazelcast is the one of the best tools for every day`s life](https://www.g2.com/survey_responses/hazelcast-platform-review-5219399)"**

**Rating:** 5.0/5.0 stars
*— Ivan Z.*

[Read full review](https://www.g2.com/survey_responses/hazelcast-platform-review-5219399)

---


#### What Are G2 Users Discussing About Hazelcast Platform?

- [What is Redis vs Hazelcast?](https://www.g2.com/discussions/what-is-redis-vs-hazelcast)
- [What is Hazelcast enterprise?](https://www.g2.com/discussions/what-is-hazelcast-enterprise)
- [How does Hazelcast store data?](https://www.g2.com/discussions/how-does-hazelcast-store-data)
- [What is Hazelcast used for?](https://www.g2.com/discussions/what-is-hazelcast-used-for)

### 2. [QuasarDB](https://www.g2.com/products/quasardb-quasardb/reviews)
QuasarDB is a high-performance, distributed time series database that seamlessly combines in-memory capabilities with reliable storage. It’s built on a vertical approach with a single software package that provides storage, distribution, standardization and analysis. Data can be ingested at several hundred millions entries per second and is available immediately for querying.  Data is processed in real time and distributed transparently to disks and memory; and is easily accessible using a query language such as SQL. 


**Average Rating:** 4.3/5.0
**Total Reviews:** 3
**How Do G2 Users Rate QuasarDB?**

- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.0/10)
- **Ease of Admin:** 5.8/10 (Category avg: 8.3/10)
- **Quality of Support:** 8.9/10 (Category avg: 8.8/10)

**Who Is the Company Behind QuasarDB?**

- **Seller:** [QuasarDB](https://www.g2.com/sellers/quasardb)
- **Year Founded:** 2008
- **HQ Location:** Paris, FR
- **Twitter:** @quasardb (477 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/9376682/ (11 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 33% Enterprise, 33% Mid-Market



#### What Are Recent G2 Reviews of QuasarDB?

**"[High performance timeseries database that is great with numbers](https://www.g2.com/survey_responses/quasardb-review-1938164)"**

**Rating:** 4.0/5.0 stars
*— Verified User in Information Technology and Services*

[Read full review](https://www.g2.com/survey_responses/quasardb-review-1938164)

---

**"[A clear breakthrough in timeseries database](https://www.g2.com/survey_responses/quasardb-review-2030284)"**

**Rating:** 5.0/5.0 stars
*— Joel F.*

[Read full review](https://www.g2.com/survey_responses/quasardb-review-2030284)

---


#### What Are G2 Users Discussing About QuasarDB?

- [What is QuasarDB used for?](https://www.g2.com/discussions/what-is-quasardb-used-for)

### 3. [KairosDB](https://www.g2.com/products/kairosdb/reviews)
Fast Time Series Database on Cassandra. A time series database server (TSDS) is a software system that is optimized for handling time series data.


**Average Rating:** 4.8/5.0
**Total Reviews:** 2
**How Do G2 Users Rate KairosDB?**

- **Quality of Support:** 8.3/10 (Category avg: 8.8/10)

**Who Is the Company Behind KairosDB?**

- **Seller:** [KairosDB](https://www.g2.com/sellers/kairosdb)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Enterprise



#### What Are Recent G2 Reviews of KairosDB?

**"[Best nosql database available](https://www.g2.com/survey_responses/kairosdb-review-8243984)"**

**Rating:** 4.5/5.0 stars
*— james S.*

[Read full review](https://www.g2.com/survey_responses/kairosdb-review-8243984)

---

**"[Kairos DB connection](https://www.g2.com/survey_responses/kairosdb-review-8243973)"**

**Rating:** 5.0/5.0 stars
*— Rahul R.*

[Read full review](https://www.g2.com/survey_responses/kairosdb-review-8243973)

---



### 4. [Proficy Historian](https://www.g2.com/products/proficy-historian/reviews)
Proficy Historian is industrial software used to collect, archive, and analyze time-series data from production equipment, sensors, and control systems in manufacturing and utility environments. Engineered for high-speed, high-volume data environments, Proficy Historian enables organizations to capture and store process and production data efficiently and cost-effectively. It supports time-stamped data collection from a wide range of industrial devices and automation systems using standard protocols such as OPC UA, MQTT, and traditional data interfaces. Operations teams, engineers, analysts, and IT professionals use Proficy Historian to improve process visibility, troubleshoot equipment issues, and support data-driven decision-making. The software plays a central role in performance monitoring, quality analysis, and regulatory compliance by enabling long-term access to historical data and seamless integration with reporting and analytics tools. Proficy Historian is designed for deployment flexibility. It can be installed on-premise at a facility, deployed at the edge to support localized data capture and buffering, or integrated into a hybrid or cloud architecture to support enterprise-wide analytics and central data aggregation. This flexibility allows industrial organizations to adapt to modern data strategies while maintaining continuity with existing infrastructure. Key capabilities include: • High-performance compression and storage of time-series industrial data to reduce infrastructure load • Support for distributed, edge, and cloud-connected architectures to align with evolving data strategies • Secure, scalable data collection from multiple sources across plants, lines, or remote assets • Integration with visualization and analysis tools, including Excel plug-ins and analytics platforms • Redundancy, filtering, and data quality features to ensure consistent, reliable data access Proficy Historian is used across industries such as power generation, food and beverage, chemicals, oil and gas, and water/wastewater. It provides a reliable foundation for industrial data management strategies, enabling manufacturers and utilities to gain insight into operations, optimize performance, and meet compliance and reporting requirements over time.


**Average Rating:** 3.7/5.0
**Total Reviews:** 3
**How Do G2 Users Rate Proficy Historian?**

- **Quality of Support:** 5.0/10 (Category avg: 8.8/10)

**Who Is the Company Behind Proficy Historian?**

- **Seller:** [Velotic](https://www.g2.com/sellers/velotic)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/velotic-software/ (358 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 67% Small-Business, 33% Mid-Market


#### What Are Proficy Historian's Pros and Cons?

**Pros:**

- Efficiency (1 reviews)
- Inventory Management (1 reviews)
- Manufacturing Integration (1 reviews)
- Performance Efficiency (1 reviews)

**Cons:**

- Complex Usability (1 reviews)
- Slow Performance (1 reviews)


### What Do G2 Reviewers Say About Proficy Historian?
*AI-generated summary from verified user reviews*

**Pros:**

- Users value the **efficiency** of Proficy Historian, which compresses large data volumes, saving vital storage space.
- Users value the **efficient inventory management** of Proficy Historian, optimizing storage for critical industrial data.
- Users value the **efficient data compression** of Proficy Historian, reducing storage needs while monitoring equipment performance effectively.
- Users value the **performance efficiency** of Proficy Historian, benefiting from significant storage savings for critical data.

**Cons:**

- Users experience a **sluggish and awkward retrieval system** with Proficy Historian, which hampers data analysis efforts.
- Users experience **slow performance** with Proficy Historian, causing frustrating lags when retrieving important data for analysis.

#### What Are Recent G2 Reviews of Proficy Historian?

**"[Historian](https://www.g2.com/survey_responses/proficy-historian-review-713213)"**

**Rating:** 4.0/5.0 stars
*— Verified User in Wholesale*

[Read full review](https://www.g2.com/survey_responses/proficy-historian-review-713213)

---

**"[As the name suggest, it's a perfect HISTORIAN!!](https://www.g2.com/survey_responses/proficy-historian-review-6483314)"**

**Rating:** 4.5/5.0 stars
*— Shubham K.*

[Read full review](https://www.g2.com/survey_responses/proficy-historian-review-6483314)

---


#### What Are G2 Users Discussing About Proficy Historian?

- [What is Historian used for?](https://www.g2.com/discussions/what-is-historian-used-for)

### 5. [Blueflood DB](https://www.g2.com/products/blueflood-db/reviews)
Blueflood is a high throughput, low latency, multi-tenant distributed metric processing system behind Rackspace Metrics, which is currently used in production by the Rackspace Monitoring team and Rackspace Public Cloud team to store metrics generated by their systems.


**Average Rating:** 5.0/5.0
**Total Reviews:** 1
**How Do G2 Users Rate Blueflood DB?**

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10)
- **Ease of Admin:** 10.0/10 (Category avg: 8.3/10)
- **Quality of Support:** 10.0/10 (Category avg: 8.8/10)

**Who Is the Company Behind Blueflood DB?**

- **Seller:** [Blueflood](https://www.g2.com/sellers/blueflood)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Mid-Market



#### What Are Recent G2 Reviews of Blueflood DB?

**"[Blueflood DB](https://www.g2.com/survey_responses/blueflood-db-review-8217855)"**

**Rating:** 5.0/5.0 stars
*— Vasiliki V.*

[Read full review](https://www.g2.com/survey_responses/blueflood-db-review-8217855)

---



### 6. [DataPortia](https://www.g2.com/products/dataportia/reviews)
DataPortia is an advanced industrial data acquisition and reporting software that connects to automation systems via OPC UA protocol. It stores time-series data in a PostgreSQL/TimescaleDB database and provides a web-based interface for real-time monitoring, trend analysis, and report generation.


**Average Rating:** 5.0/5.0
**Total Reviews:** 1
**How Do G2 Users Rate DataPortia?**

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10)
- **Ease of Admin:** 10.0/10 (Category avg: 8.3/10)
- **Quality of Support:** 10.0/10 (Category avg: 8.8/10)

**Who Is the Company Behind DataPortia?**

- **Seller:** [Atorcom](https://www.g2.com/sellers/atorcom)
- **Year Founded:** 2018
- **HQ Location:** Karstula, FI
- **LinkedIn® Page:** https://www.linkedin.com/company/atorcom/ (1 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Small-Business



#### What Are Recent G2 Reviews of DataPortia?

**"[Complete on-premises industrial data platform with local AI — finally no cloud dependency](https://www.g2.com/survey_responses/dataportia-review-12480261)"**

**Rating:** 5.0/5.0 stars
*— Antti H.*

[Read full review](https://www.g2.com/survey_responses/dataportia-review-12480261)

---



### 7. [Fauna](https://www.g2.com/products/fauna-fauna/reviews)
Fauna is a truly serverless operational database that empowers teams to ship applications faster. It combines the flexibility of a document model with the strong consistency and rich querying power of relational systems—all built on a serverless, distributed architecture that scales automatically, without the complexity of manual provisioning, sharding, or replication. Over 80,000 development teams choose Fauna to build and scale modern transactional applications including teams from Tyson Foods, Unilever, Lexmark, Intelliculture, Hannon Hill, Cloaked, DTLR, and Insights.gg.


**Average Rating:** 4.4/5.0
**Total Reviews:** 25
**How Do G2 Users Rate Fauna?**

- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.0/10)
- **Ease of Admin:** 8.6/10 (Category avg: 8.3/10)
- **Quality of Support:** 8.9/10 (Category avg: 8.8/10)

**Who Is the Company Behind Fauna?**

- **Seller:** [Fauna](https://www.g2.com/sellers/fauna)
- **Year Founded:** 2015
- **HQ Location:** San Francisco, CA
- **Twitter:** @fauna (93,015 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/faunadb/ (12 employees on LinkedIn®)

**Who Uses This Product?**
- **Top Industries:** Information Technology and Services
- **Company Size:** 64% Small-Business, 24% Mid-Market


#### What Are Fauna's Pros and Cons?

**Pros:**

- Scalability (4 reviews)
- Ease of Use (3 reviews)
- Flexibility (3 reviews)
- Reliability (3 reviews)
- Customer Support (2 reviews)

**Cons:**

- Difficult Learning (2 reviews)
- Poor Documentation (2 reviews)
- Complexity (1 reviews)
- Complex Setup (1 reviews)
- Cost Issues (1 reviews)


### What Do G2 Reviewers Say About Fauna?
*AI-generated summary from verified user reviews*

**Pros:**

- Users value the **high scalability** of Fauna, benefiting from its serverless architecture and global consistency.
- Users find Fauna to be incredibly **easy to use** , with a straightforward setup and simple query language.
- Users appreciate the **flexibility** of Fauna, enabling easy prototyping and smooth transitions from existing databases.
- Users commend Fauna for its **reliability** , finding it highly scalable and efficient in diverse applications.
- Users praise Fauna's **excellent customer support** , noting their responsiveness and effectiveness throughout the setup process.

**Cons:**

- Users find the **difficult learning** curve of Fauna frustrating, hindering effective use and data exploration.
- Users struggle with **poor documentation** , making it difficult to find patterns and solutions for specific deployments.
- Users find the **complexity of debugging the type system** and limited search capabilities challenging to navigate.
- Users find the **complex setup** for on-premise architecture challenging, especially without sufficient documentation.
- Users find that the **cost issues** with Fauna's pricing model complicate their budgeting and usage decisions.

#### What Are Recent G2 Reviews of Fauna?

**"[The "best of every world" Database](https://www.g2.com/survey_responses/fauna-review-10729580)"**

**Rating:** 5.0/5.0 stars
*— Tayler K.*

[Read full review](https://www.g2.com/survey_responses/fauna-review-10729580)

---

**"[A truly serverless database](https://www.g2.com/survey_responses/fauna-review-10703984)"**

**Rating:** 5.0/5.0 stars
*— Verified User in Government Administration*

[Read full review](https://www.g2.com/survey_responses/fauna-review-10703984)

---


#### What Are G2 Users Discussing About Fauna?

- [Is FaunaDB expensive?](https://www.g2.com/discussions/is-faunadb-expensive)
- [Is FaunaDB serverless?](https://www.g2.com/discussions/is-faunadb-serverless) - 3 comments
- [What type of DB is FaunaDB?](https://www.g2.com/discussions/what-type-of-db-is-faunadb)
- [What is FaunaDB used for?](https://www.g2.com/discussions/what-is-faunadb-used-for)

### 8. [Kinetica](https://www.g2.com/products/kinetica/reviews)
Kinetica is the database for time & space. Kinetica makes it easy and fast to: - ingest massive amounts of IoT data and other contextual data sets - fuse data sets using spatial and temporal joins - analyze data using SQL based analytics for spatial, graph, and time-series analytics or running containerized ML models


**Average Rating:** 4.3/5.0
**Total Reviews:** 2
**How Do G2 Users Rate Kinetica?**

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10)
- **Ease of Admin:** 6.7/10 (Category avg: 8.3/10)
- **Quality of Support:** 7.5/10 (Category avg: 8.8/10)

**Who Is the Company Behind Kinetica?**

- **Seller:** [Kinetica](https://www.g2.com/sellers/kinetica)
- **Year Founded:** 2016
- **HQ Location:** Arlington, Virginia, United States
- **Twitter:** @KineticaHQ (3,461 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/kinetica/ (71 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Mid-Market



#### What Are Recent G2 Reviews of Kinetica?

**"[Beneficial especially for our wind farm activities](https://www.g2.com/survey_responses/kinetica-review-9862948)"**

**Rating:** 4.5/5.0 stars
*— Leslie C.*

[Read full review](https://www.g2.com/survey_responses/kinetica-review-9862948)

---

**"[Efficient Data analytics](https://www.g2.com/survey_responses/kinetica-review-9855352)"**

**Rating:** 4.0/5.0 stars
*— Surya  K.*

[Read full review](https://www.g2.com/survey_responses/kinetica-review-9855352)

---


#### What Are G2 Users Discussing About Kinetica?

- [When was Kinetica founded?](https://www.g2.com/discussions/when-was-kinetica-founded)
- [How many employees does Kinetica have?](https://www.g2.com/discussions/how-many-employees-does-kinetica-have)
- [Is Kinetica open source?](https://www.g2.com/discussions/is-kinetica-open-source)
- [What does Kinetica do?](https://www.g2.com/discussions/what-does-kinetica-do) - 1 comment

### 9. [OpenTSDB](https://www.g2.com/products/opentsdb/reviews)
Scalable time series database.


**Average Rating:** 5.0/5.0
**Total Reviews:** 1
**How Do G2 Users Rate OpenTSDB?**

- **Quality of Support:** 10.0/10 (Category avg: 8.8/10)

**Who Is the Company Behind OpenTSDB?**

- **Seller:** [OpenTSDB](https://www.g2.com/sellers/opentsdb)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Mid-Market



#### What Are Recent G2 Reviews of OpenTSDB?

**"[Handle large volumes of data with excellent performance.](https://www.g2.com/survey_responses/opentsdb-review-8363074)"**

**Rating:** 5.0/5.0 stars
*— Juan Enrique S.*

[Read full review](https://www.g2.com/survey_responses/opentsdb-review-8363074)

---



### 10. [RaimaDB](https://www.g2.com/products/raimadb/reviews)
RaimaDB: The High-Performance Embedded Database for Edge and IoT Systems RaimaDB is a high-performance, small-footprint database designed for edge computing, IoT, and embedded systems. Built on over three decades of database innovation, RaimaDB provides a powerful, reliable, and resource-efficient solution for developers building applications where data integrity, speed, and local storage are critical. Unlike large-scale enterprise databases, RaimaDB is purpose-built for environments with limited memory and processing power—such as industrial controllers, automotive systems, medical devices, and network appliances. Its lightweight architecture allows for fast transactions, deterministic performance, and minimal overhead, making it ideal for real-time applications. RaimaDB supports both SQL and C/C++ APIs, giving developers flexibility in how they access and manage data. It’s fully ACID-compliant, ensuring data reliability even in harsh or disconnected environments. With advanced features like in-memory performance, high availability, and flexible replication, RaimaDB enables secure local data processing while still integrating seamlessly with cloud or enterprise systems when connectivity is restored. The database can be deployed on a wide range of operating systems, including Linux, embedded Linux, Windows, QNX, and VxWorks, and can run on both ARM and x86 architectures. Its modular design allows for efficient scaling—from compact single-board computers to complex distributed networks. Trusted by global leaders in industries such as automotive, aerospace, energy, and telecommunications, RaimaDB powers mission-critical systems that demand reliability and speed. Developers choose RaimaDB for its ease of integration, low maintenance requirements, and proven performance under demanding conditions. Whether you’re building the next generation of connected devices or optimizing data handling at the edge, RaimaDB provides the robust foundation you need. Experience the efficiency of a database built for embedded and real-time systems—fast, reliable, and ready for the future of intelligent data management.


**Average Rating:** 4.6/5.0
**Total Reviews:** 7
**How Do G2 Users Rate RaimaDB?**

- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.0/10)
- **Ease of Admin:** 8.3/10 (Category avg: 8.3/10)
- **Quality of Support:** 9.7/10 (Category avg: 8.8/10)

**Who Is the Company Behind RaimaDB?**

- **Seller:** [Raima](https://www.g2.com/sellers/raima)
- **Company Website:** https://raima.com
- **Year Founded:** 1982
- **HQ Location:** Seattle, US
- **Twitter:** @RaimaDB (715 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/raima-inc. (13 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 57% Small-Business, 14% Enterprise


#### What Are RaimaDB's Pros and Cons?

**Pros:**

- Customer Support (5 reviews)
- Performance (4 reviews)
- Speed (4 reviews)
- Performance Optimization (3 reviews)
- Database Management (2 reviews)

**Cons:**

- Difficult Learning (2 reviews)
- Feature Limitations (2 reviews)
- Required Expertise (2 reviews)
- Backup Issues (1 reviews)
- Beginner Unfriendliness (1 reviews)


### What Do G2 Reviewers Say About RaimaDB?
*AI-generated summary from verified user reviews*

**Pros:**

- Users praise RaimaDB for its **excellent customer support** , noting prompt responses and effective assistance when needed.
- Users value the **outstanding performance** of RaimaDB, enhancing speed and reliability for embedded systems and applications.
- Users value the **exceptional speed** of RaimaDB, making it perfect for lightweight, high-performance applications like Cloverleaf.
- Users value the **exceptional performance** of RaimaDB, praising its speed and reliability for embedded systems.
- Users value the **reliability and performance** of RaimaDB, praising its transparency and ease of implementation.

**Cons:**

- Users find the **difficult learning curve** of RaimaDB particularly challenging, especially due to its C/C++ focus and debugging issues.
- Users struggle with **feature limitations** in RaimaDB, particularly regarding the internal API and SQL capabilities.
- Users feel that the **required expertise** for RaimaDB is high, making adoption challenging for less technical teams.
- Users find the **backup issues** of RaimaDB challenging, highlighting the need for better management and inspection tools.
- Users find RaimaDB to have a **beginner-unfriendly interface** , making it challenging for new users to engage effectively.

#### What Are Recent G2 Reviews of RaimaDB?

**"[Lightweight and High-Performing Embedded Database Solution](https://www.g2.com/survey_responses/raimadb-review-12319272)"**

**Rating:** 5.0/5.0 stars
*— Alex W.*

[Read full review](https://www.g2.com/survey_responses/raimadb-review-12319272)

---

**"[Real-Time Acquisition with Unmatched Support](https://www.g2.com/survey_responses/raimadb-review-12327647)"**

**Rating:** 5.0/5.0 stars
*— Yoni R.*

[Read full review](https://www.g2.com/survey_responses/raimadb-review-12327647)

---


#### What Are G2 Users Discussing About RaimaDB?

- [What is Raima Database Manager (RDM) used for?](https://www.g2.com/discussions/raima-database-manager-rdm-what-is-raima-database-manager-rdm-used-for)
- [What is Raima Database Manager (RDM) used for?](https://www.g2.com/discussions/what-is-raima-database-manager-rdm-used-for)

### 11. [Riak TS](https://www.g2.com/products/riak-ts/reviews)
Riak TS is the only enterprise-grade NoSQL time series database optimized specifically for IoT and Time Series data. It ingests, transforms, stores, and analyzes massive amounts of time series data. Riak TS is engineered to be faster than Cassandra.


**Average Rating:** 3.0/5.0
**Total Reviews:** 1
**How Do G2 Users Rate Riak TS?**

- **Has the product been a good partner in doing business?:** 6.7/10 (Category avg: 9.0/10)
- **Ease of Admin:** 5.0/10 (Category avg: 8.3/10)

**Who Is the Company Behind Riak TS?**

- **Seller:** [Basho Technologies](https://www.g2.com/sellers/basho-technologies-604d5e62-da2c-4669-bcb4-0bf79f093e16)
- **Year Founded:** 2008
- **HQ Location:** Bellevue, US
- **LinkedIn® Page:** http://www.linkedin.com/company/basho-technologies-inc (12 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Small-Business





### 12. [Tembo](https://www.g2.com/products/tembo/reviews)
Tembo is a multi-workload Postgres managed service that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads. With robust SaaS and self hosted deployment options, Tembo enables everyone – from the smallest startups to the Fortune 500 – to go “all in” on Postgres, achieving unprecedented stability and efficiency across a variety of applications and use cases. With Tembo, customers get all the stability, reliability, and extensibility of Postgres open source with enhanced observability, compliance, and developer experience.


**Average Rating:** 4.7/5.0
**Total Reviews:** 26
**How Do G2 Users Rate Tembo?**

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10)
- **Ease of Admin:** 9.0/10 (Category avg: 8.3/10)
- **Quality of Support:** 9.0/10 (Category avg: 8.8/10)

**Who Is the Company Behind Tembo?**

- **Seller:** [Tembo](https://www.g2.com/sellers/tembo)
- **Year Founded:** 2022
- **HQ Location:** Cincinnati, US
- **Twitter:** @tembo_io (3 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/tembo-inc/ (31 employees on LinkedIn®)

**Who Uses This Product?**
- **Top Industries:** Computer Software
- **Company Size:** 85% Small-Business, 15% Mid-Market


#### What Are Tembo's Pros and Cons?

**Pros:**

- Ease of Use (16 reviews)
- Features (12 reviews)
- Integrations (10 reviews)
- Ease of Setup (8 reviews)
- Easy Integrations (8 reviews)

**Cons:**

- Limited Flexibility (5 reviews)
- AWS Dependency (4 reviews)
- Cloud Limitations (4 reviews)
- Expensive (4 reviews)
- Limited Customization (4 reviews)


### What Do G2 Reviewers Say About Tembo?
*AI-generated summary from verified user reviews*

**Pros:**

- Users highlight the **ease of use** of Tembo.io, enjoying its simple setup and intuitive dashboard for organization.
- Users appreciate the **user-friendly interface and collaboration features** of Tembo, making task management effortless and organized.
- Users appreciate the **easy integration capabilities** of Tembo, enabling seamless connection with various data sources.
- Users appreciate the **ease of setup** with Tembo, finding it user-friendly and quick to deploy.
- Users love the **easy integrations** of Tembo, providing quick deployment and hassle-free data management solutions.

**Cons:**

- Users find limited **flexibility** in Tembo, often wishing for broader integration and customization options.
- Users find the **restriction to AWS** a significant downside, hoping for broader cloud service integrations.
- Users highlight the **limited cloud integration** with Tembo, as it only supports AWS and hinders flexibility.
- Users find Tembo to be **expensive** , especially small businesses facing uncertain monthly costs and limited customizability.
- Users find the **limited customization** options frustrating, affecting flexibility and overall satisfaction with Tembo.

#### What Are Recent G2 Reviews of Tembo?

**"[Tembo - good solution for database hosting & management](https://www.g2.com/survey_responses/tembo-review-10807698)"**

**Rating:** 4.0/5.0 stars
*— Dana Y.*

[Read full review](https://www.g2.com/survey_responses/tembo-review-10807698)

---

**"[DB Management but simplified](https://www.g2.com/survey_responses/tembo-review-10798093)"**

**Rating:** 4.5/5.0 stars
*— Srivishnu  S.*

[Read full review](https://www.g2.com/survey_responses/tembo-review-10798093)

---



### 13. [Versio.io Platform](https://www.g2.com/products/versio-io-platform/reviews)
Versio.io is an enterprise software solution based on historicized IT monitoring data to optimize and support your IT operations. With Versio.io you can historize your IT monitoring data extracting additional value from it. This allows you to reduce IT deployment costs and to use existing IT resources more efficiently. Optimization solutions require information from the history provided by Versio.io. This enables you to reduce hardware and license costs, ensure auditability of your IT, automate governance and compliance rule monitoring, ensure fair distribution of IT cost allocation, and further more.


**Average Rating:** 5.0/5.0
**Total Reviews:** 1
**How Do G2 Users Rate Versio.io Platform?**

- **Quality of Support:** 10.0/10 (Category avg: 8.8/10)

**Who Is the Company Behind Versio.io Platform?**

- **Seller:** [QMETHODS - Business & IT Consulting](https://www.g2.com/sellers/qmethods-business-it-consulting)
- **Year Founded:** 2005
- **HQ Location:** Berlin, DE
- **LinkedIn® Page:** https://www.linkedin.com/company/1232765 (4 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 67% Small-Business, 33% Enterprise



#### What Are Recent G2 Reviews of Versio.io Platform?

**"[Versio.io: The next generation CMDB which delivers fast time to value!](https://www.g2.com/survey_responses/versio-io-platform-review-4341969)"**

**Rating:** 4.5/5.0 stars
*— Verified User in Computer Networking*

[Read full review](https://www.g2.com/survey_responses/versio-io-platform-review-4341969)

---

**"[Excellence of Versio.io](https://www.g2.com/survey_responses/versio-io-platform-review-7335886)"**

**Rating:** 5.0/5.0 stars
*— Verified User in Insurance*

[Read full review](https://www.g2.com/survey_responses/versio-io-platform-review-7335886)

---


#### What Are G2 Users Discussing About Versio.io Platform?

- [What is Versio.io Platform used for?](https://www.g2.com/discussions/what-is-versio-io-platform-used-for)

### 14. [VictoriaMetrics](https://www.g2.com/products/victoriametrics/reviews)
VictoriaMetrics is the company behind the leading open source time series database , observability, and monitoring solution of the same name — built for simple, reliable, and efficient observability. By engineers, for engineers. Founded in 2018 in Kyiv, Ukraine, and now globally led and headquartered in the US, VictoriaMetrics has grown into a full open source observability stack: VictoriaMetrics for metrics, VictoriaLogs for logs, and VictoriaTraces for distributed tracing — with Enterprise, Cloud, and AI-powered Anomaly Detection offerings built on the same core. The management team came together following successful careers at Google, Lyft, and Cloudflare to solve the hard problems around very large, constantly changing data that they had encountered themselves. Today VictoriaMetrics counts 1B+ Docker pulls, 19M GitHub downloads, and 17K+ GitHub stars, and is trusted in production by CERN, Grammarly, Adidas, Spotify, and thousands of engineering teams worldwide. For more information, please visit https://victoriametrics.com.


**Average Rating:** 5.0/5.0
**Total Reviews:** 2
**How Do G2 Users Rate VictoriaMetrics?**

- **Quality of Support:** 10.0/10 (Category avg: 8.8/10)

**Who Is the Company Behind VictoriaMetrics?**

- **Seller:** [VictoriaMetrics](https://www.g2.com/sellers/victoriametrics)
- **Year Founded:** 2018
- **HQ Location:** San Francisco, US
- **Twitter:** @VictoriaMetrics (2,785 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/victoriametrics/ (42 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 67% Mid-Market


#### What Are VictoriaMetrics's Pros and Cons?


**Cons:**

- Learning Curve (1 reviews)


### What Do G2 Reviewers Say About VictoriaMetrics?
*AI-generated summary from verified user reviews*


**Cons:**

- Users find the **GUI lacking** , with basic charts that are difficult to interpret and follow effectively.

#### What Are Recent G2 Reviews of VictoriaMetrics?

**"[Working in production](https://www.g2.com/survey_responses/victoriametrics-review-7306688)"**

**Rating:** 5.0/5.0 stars
*— Verified User in Telecommunications*

[Read full review](https://www.g2.com/survey_responses/victoriametrics-review-7306688)

---

**"[A great option for the time se](https://www.g2.com/survey_responses/victoriametrics-review-11288465)"**

**Rating:** 5.0/5.0 stars
*— Verified User in Computer Software*

[Read full review](https://www.g2.com/survey_responses/victoriametrics-review-11288465)

---


#### What Are G2 Users Discussing About VictoriaMetrics?

- [What is VictoriaMetrics used for?](https://www.g2.com/discussions/what-is-victoriametrics-used-for)

### 15. [Aiven for M3](https://www.g2.com/products/aiven-for-m3/reviews)
Fully managed M3DB – the high-performance time series database with unlimited scalability and high availability.



**Who Is the Company Behind Aiven for M3?**

- **Seller:** [Aiven](https://www.g2.com/sellers/aiven)
- **Year Founded:** 2016
- **HQ Location:** Helsinki, Southern Finland
- **Twitter:** @aiven_io (4,104 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/10294984/ (464 employees on LinkedIn®)






### 16. [BangDB](https://www.g2.com/products/iqlect-bangdb/reviews)
BangDB is a platform that provides an end-to-end solution for real-time big data analytics process.


**Average Rating:** 3.5/5.0
**Total Reviews:** 1
**How Do G2 Users Rate BangDB?**

- **Quality of Support:** 6.7/10 (Category avg: 8.8/10)

**Who Is the Company Behind BangDB?**

- **Seller:** [IQLECT](https://www.g2.com/sellers/iqlect)
- **HQ Location:** Bangalore, India
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Small-Business


#### What Are BangDB's Pros and Cons?

**Pros:**

- Options (1 reviews)
- Search Efficiency (1 reviews)
- Visibility (1 reviews)

**Cons:**

- Difficult Learning (1 reviews)
- Learning Difficulty (1 reviews)


### What Do G2 Reviewers Say About BangDB?
*AI-generated summary from verified user reviews*

**Pros:**

- Users appreciate the **additional tools and options** in BangDB, enhancing search efficiency and data visibility.
- Users benefit from the **enhanced search efficiency** of BangDB, enjoying improved data visibility and navigation.
- Users value the **enhanced visibility** offered by BangDB, benefiting from improved search and data management tools.

**Cons:**

- Users find the **difficult learning curve** of BangDB a barrier to initial usage and overall adoption.
- Users find the **learning difficulty** to be a barrier, potentially hindering new users from getting started.



### 17. [DATAHUB+](https://www.g2.com/products/vroc-datahub/reviews)
DataHUB+ is an enterprise time-series process data historian and visualization platform. It's scalable distributed data storage allows users to store all available structured, semi-structured and unstructured data reliably. DataHUB+ is built for rapid insights, reducing data wrangling time. Build your own data visualizations and dashboards, monitor operations in real time, create alerts and be confident in the integrity of your analysis. DataHUB+ is designed to be interoperable with your existing systems, and can be utilised for an unlimited number of plants, assets and equipment. Users can build data visualizations using dynamic dashboards or fully customize visualizations using drag & drop functionality. DataHUB+ also includes free-form calculations and statistical analysis capabilities. Discover a next generation process historian and visualization platform without hidden licensing fees, additional hardware costs or individual user costs.


**Average Rating:** 5.0/5.0
**Total Reviews:** 1
**How Do G2 Users Rate DATAHUB+?**

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10)
- **Ease of Admin:** 10.0/10 (Category avg: 8.3/10)
- **Quality of Support:** 8.3/10 (Category avg: 8.8/10)

**Who Is the Company Behind DATAHUB+?**

- **Seller:** [VROC](https://www.g2.com/sellers/vroc)
- **Year Founded:** 2016
- **HQ Location:** East Perth, AU
- **Twitter:** @vrocai (60 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/vroc-artificial-intelligence (12 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Mid-Market



#### What Are Recent G2 Reviews of DATAHUB+?

**"[Robust and versatile platform](https://www.g2.com/survey_responses/datahub-review-9814450)"**

**Rating:** 5.0/5.0 stars
*— Avneet S.*

[Read full review](https://www.g2.com/survey_responses/datahub-review-9814450)

---



### 18. [Hawkular Metrics](https://www.g2.com/products/hawkular-metrics/reviews)
Hawkular Metrics is a scalable, asynchronous, multi tenant, long term metrics storage engine that uses Cassandra as the data store and REST as the primary interface.



**Who Is the Company Behind Hawkular Metrics?**

- **Seller:** [Hawkular](https://www.g2.com/sellers/hawkular)
- **HQ Location:** N/A
- **Twitter:** @hawkular_org (239 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 19. [Hyprcubd](https://www.g2.com/products/hyprcubd/reviews)
Hyprcubd is a serverless time series database. We are designed for high volume, high velocity streaming data. Use Hyprcubd to power real time dashboards. We offer a simple interface, high availability, high durability, and no overhead for capacity planning. We offer two deployment options - Cloud based SaaS or within your Kubernetes cluster. Check us out www.hyprcubd.com to see our case studies!



**Who Is the Company Behind Hyprcubd?**

- **Seller:** [Hyprcubd](https://www.g2.com/sellers/hyprcubd)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 20. [IRONdb](https://www.g2.com/products/irondb/reviews)
IRONdb is a highly resilient time-series database designed to scale to billions of events per day and trillions of datapoints for regression. IRONdb allows organizations to handle a massive amount of data - reliably, efficiently and cost-effectively - to pull out the operational insights needed to run their businesses and get ahead of the competition.



**Who Is the Company Behind IRONdb?**

- **Seller:** [IRONdb](https://www.g2.com/sellers/irondb)
- **HQ Location:** N/A
- **Twitter:** @IRONdb (251 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 21. [Machbase](https://www.g2.com/products/machbase/reviews)
Machbase is a columnar DBMS tailored to process machine data, i.e., the time series log data generated from the machines comprising the IT infrastructure in the era of Internet of Things (IoT) such as servers, network devices, and applications.



**Who Is the Company Behind Machbase?**

- **Seller:** [Machbase](https://www.g2.com/sellers/machbase)
- **Year Founded:** 2013
- **HQ Location:** Sunnyvale, US
- **Twitter:** @machbase (127 Twitter followers)
- **LinkedIn® Page:** http://www.linkedin.com/company/machbase (8 employees on LinkedIn®)






### 22. [Macrometa](https://www.g2.com/products/macrometa/reviews)
Macrometa is a hyper-distributed cloud platform featuring a Global Data Network (GDN) and PhotonIQ, an AI-powered Edge Delivery Network. With over 175 points of presence (PoPs) worldwide, Macrometa empowers enterprises to build real-time apps and APIs that store, process, and serve data within milliseconds to users globally. PhotonIQ: AI-Driven Edge Services PhotonIQ, Macrometa's suite of edge services, leverages AI and machine learning to deliver faster, more efficient, and secure digital experiences across various sectors including eCommerce, Gaming, and Financial Services. Key PhotonIQ services include: Performance Proxy (P3): Improves Core Web Vitals and optimizes web assets Dynamic Prerendering: Enhances site speed and SEO Virtual Waiting Rooms: Manages high-traffic scenarios Digital Fingerprinting: Enables privacy-preserving user tracking Unparalleled Performance Macrometa's platform ensures global P90 roundtrip response times of under 50ms, with the ability to serve results in under 50ms globally. This ultra-fast performance can significantly boost conversions, with increases of up to 72% reported for app performance improvements. Cost-Efficient and Developer-Friendly Macrometa's efficient architecture typically reduces cloud spend by 50% or more compared to traditional providers. The platform accelerates development cycles, allowing enterprises to implement PhotonIQ's AI at the edge services in 60 days or less. Developers can leverage Macrometa's API in any programming language, facilitating rapid product development and feature deployment without requiring expertise in distributed systems. By combining cutting-edge technology with ease of use, Macrometa enables businesses to deliver exceptional user experiences, drive organic traffic, and achieve substantial improvements in web performance and security.



**Who Is the Company Behind Macrometa?**

- **Seller:** [Macrometa](https://www.g2.com/sellers/macrometa)
- **Year Founded:** 2017
- **HQ Location:** Palo Alto, US
- **Twitter:** @macrometa (397 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/macrometa-corporation (54 employees on LinkedIn®)






### 23. [Managed Apache Cassandra](https://www.g2.com/products/managed-apache-cassandra/reviews)
Instaclustr’s Managed Service for Apache Cassandra gets you up and running quickly and is the most reliable way to run Cassandra for your application. We are so confident in the performance of our clusters that we include latency and performance guarantees in our contracted SLAs. Instaclustr fully managed and SOC 2 certified managed service for Apache Cassandra® can be provided on most of the major cloud providers including AWS, Azure, GCP, and IBM Cloud.


**Average Rating:** 3.5/5.0
**Total Reviews:** 1

**Who Is the Company Behind Managed Apache Cassandra?**

- **Seller:** [NetApp](https://www.g2.com/sellers/netapp)
- **Year Founded:** 1992
- **HQ Location:** Sunnyvale, California
- **Twitter:** @NetApp (118,015 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2105/ (12,682 employees on LinkedIn®)
- **Ownership:** NASDAQ

**Who Uses This Product?**
- **Company Size:** 100% Small-Business





### 24. [OneTick Time-Series Database](https://www.g2.com/products/onetick-time-series-database/reviews)
OneTick is a premier enterprise-wide solution for high-performance tick data capture, streaming analytics, data management, and research. Designed to meet the demanding requirements of financial institutions, it offers a unified, multi-asset class platform that integrates a streaming analytics engine with built-in business logic, eliminating the need for multiple disparate systems. This comprehensive approach ensures efficient data handling and analysis across various asset classes, including equities, fixed income, futures, foreign exchange (FX, and options. Key Features and Functionality: - Comprehensive Data Management: OneTick captures, compresses, archives, and provides uniform access to global historical data, up to and including the latest tick, without limitations on data volumes, peak rates, or length of stored history. - Advanced Analytical Tools: The platform enables users to run historical simulations and back-tests, develop trading and market-making strategies, build transaction-cost models, perform real-time surveillance, and meet regulatory compliance requirements. - Integrated Streaming Analytics: Combining querying and replaying of historical tick data with real-time analytics, OneTick allows for the publication of real-time analytics and signals, querying of intraday and historical data with minimal latency, and seamless application of corporate actions. - Flexible Deployment Options: OneTick can be deployed on-premise, in the cloud, or in a hybrid configuration, providing flexibility to meet various organizational needs. - Scalability and Performance: With a multi-threaded 64-bit server architecture, OneTick handles global market data efficiently, processing millions of records per second and supporting high data volumes without performance degradation. Primary Value and User Solutions: OneTick addresses the critical need for efficient and comprehensive tick data management and analysis in the financial sector. By offering a unified platform that integrates data capture, storage, and advanced analytics, it reduces the total cost of ownership and streamlines operations. Users benefit from the ability to perform complex analyses, develop and test trading strategies, and ensure compliance with regulatory requirements, all within a single, scalable solution. This empowers financial institutions to make informed decisions, enhance trading performance, and maintain a competitive edge in the market.



**Who Is the Company Behind OneTick Time-Series Database?**

- **Seller:** [OneTick](https://www.g2.com/sellers/onetick)
- **Year Founded:** 2005
- **HQ Location:** Hoboken, New Jersey, United States
- **LinkedIn® Page:** https://www.linkedin.com/company/onemarketdata (232 employees on LinkedIn®)






### 25. [ReductStore](https://www.g2.com/products/reductstore/reviews)
ReductStore is a time series database that is specifically designed for storing and managing large amounts of blob data. It boasts high performance for both writing and real-time querying, with the added benefit of batching data. This makes it an ideal solution for edge computing, computer vision, and IoT applications where network latency is a concern.



**Who Is the Company Behind ReductStore?**

- **Seller:** [ReductStore](https://www.g2.com/sellers/reductstore)
- **Year Founded:** 2024
- **HQ Location:** Hamburg, DE
- **Twitter:** @reductstore (266 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/reductstore (2 employees on LinkedIn®)







## What Is Time Series Databases?

[Database Software](https://www.g2.com/categories/database-software)

## What Software Categories Are Similar to Time Series Databases?

- [Relational Databases](https://www.g2.com/categories/relational-databases)
- [Document Databases](https://www.g2.com/categories/document-databases)
- [Database as a Service (DBaaS) Providers](https://www.g2.com/categories/database-as-a-service-dbaas)
- [Time Series Intelligence Software](https://www.g2.com/categories/time-series-intelligence)
- [Columnar Databases](https://www.g2.com/categories/columnar-databases)
- [Vector Database Software](https://www.g2.com/categories/vector-database)
- [Real-time Analytic Database Software](https://www.g2.com/categories/real-time-analytic-database)


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## How Do You Choose the Right Time Series Databases?

### What You Should Know About Time Series Databases Software

### What are Time Series Databases Software?

The growing number of different data types leads to the proliferation of different types of databases to facilitate its storage and analysis. Among the fast-growing data types is time series data—data which is timestamped and created over time—which is on the rise with the growth of the internet of things (IoT). Although it is frequently possible to store this data in other types of data stores, time series data has special properties—the data is append-only, making it worthwhile to consider a made-to-order database solution. The first challenge for selecting a database is finding the best structure for the data to be stored. In certain cases there is a natural fit—for example, airline flight information fits very well in a graph database as this mimics real-life patterns—while long-form web content usually slots into document databases.

With time series databases software, users are able to store any data that has a timestamp, such as log data, sensor data, and industrial telemetry data. The use cases are manifold. For example, application developers use this software for the purpose of application monitoring to collect data points in real time and better understand application performance. In addition, IoT developers benefit from time series databases as they store and process sensor data, such as smart home devices, to determine how they are performing over time.

Key Benefits of Time Series Databases Software

- Provide scale and speed, with faster processing time than relational databases
- Offer a tool which is specifically geared toward time series data
- Allow for structured, organized data storage and management

### Why Use Time Series Databases Software?

Like other databases, time series databases are primarily maintained by a database administrator or team. Owing to its wide range of coverage, time series databases are also accessible by several organizations within a company. Departments such as development, IT, billing, and others may also have access to time series databases, pending their assigned uses within the company.

**Predict future —** Make informed predictions about future events, observe real-time changes, and capture historical anomalies.

**Understand past —** Understand past data with a purpose-built database.

### Who Uses Time Series Databases Software?

Time series databases software is highly flexible and is used by diverse teams throughout a company, making it particularly beneficial. For collecting extra large data sets in real time, big data processing and distribution systems are helpful. These tools are built to scale for businesses that are constantly collecting enormous amounts of data. Pulling data sets may be more challenging with big data processing and distribution systems, but the insights received is valuable due to the granularity of the data.

**Database administrators —** Time series databases have grown in popularity since they are easier to implement, have greater flexibility, and tend to have faster data retrieval times. Database administrators use these tools to maintain and manage their time series data, ensuring it is properly stored.

**Data scientists —** As data science, including artificial intelligence, is fueled by data, it is key that this data is stored in the most effective and efficient manner. This ensures that the data can be queried and analyzed properly.

### Kinds of Time Series Database Software

Although all time series databases store timestamped data, they differ in the manner in which this data is stored, the relation between the various data points, and the method in which the data is queried.

**Relational databases —** Relational databases are traditional database tools used to align information into rows and columns. The structure allows for easy querying using SQL. Relational databases are used to store both simple information, such as identities and contact information, and complex information critical to business operations. They are highly scalable and can be stored on-premises, in the cloud, or through hybrid systems.

**NoSQL databases —** NoSQL databases such as graph databases are a great option for unstructured data. If the user needs to render a value that is easily found by its key, then a key-value store is the fastest and most scalable. The drawback is a much more limited querying ability, implying its limitations for analytic data. Conversely, rendering a user’s email address based on the username or caching web data is a simple and fast solution in a key-value store.

### Time Series Databases Software Features

Time series databases, designed specifically for time series data, provide the user with the features they need to successfully store, process, and analyze this data.

**Querying using time—** Time series databases allow users to query data using time, allowing them to search or analyze the data across a given time period, even by a fraction of a second.

**Data security —** Time series database solutions include data security features to protect the data stored by a business in its databases.

**Database creation and maintenance —** Time series databases software allows users to quickly create brand-new relational databases and modify them with ease.

**Scalability —** Times series database solutions grow with the data and is hence scalable, with the only pain point being physical or cloud storage capacity.

**Operating system (OS) compatibility —** Relational database solutions are compatible with numerous OS.

**Recovery —** Whether a database needs to be rolled back or outrightly recovered, some time series database solutions offer recovery features in the event any errors occur.

### Trends Related to Time Series Databases Software

**Databases and data aggregation —** Debate continues on the use of relational databases versus NoSQL databases, as data aggregation continues to rise among businesses. Organizations need to determine the best way to store their data as data-driven products and services require immense data backing. In reality, the two database types should be used together. While relational databases excel in structured data storage, NoSQL databases (non-relational databases) shine when there’s no real structure to how data should be collected and stored. Both relational and non-relational databases scale quite easily, given the right software supporting them. This shouldn’t be a "this versus that" debate, but a "this and that" collaboration.

**Big data —** Data has become the backbone of conducting business in the information age. As data drives business decisions and trends, it’s important that the data be digestible, easy to follow, and easy to reference. That’s why big data software mostly falls back on relational database solutions. Designed with strict organization, referencing, and referral in mind, relational databases absorb and store massive amounts of data to be later digested in the decision-making process.

### Potential Issues with Time Series Databases Software

**Unstructured data —** Time series databases struggle when handling unstructured data. Time series databases hinge on data being structured to properly create relationships between data points and data tables. If a company uses mostly unstructured data, they should consider a NoSQL database solution or data quality software to clean and structure unstructured data.

**Query lag —** Time series databases store massive quantities of data, but with that advantage, such database tools run queries slowly on larger data sets. This is mainly due to the sheer volume of data being queried. In situations where queries might traverse significant quantities of data, they should be based on specific values whenever possible. Also, querying strings takes significantly longer than querying numerics, so focusing on the latter may help improve search times.

### Software and Services Related to Time Series Databases Software

Finding the right database solution involves finding a tool that best fits a particular use case, including the type of data involved and the type of analysis that needs to be done with that data. The format of the data also determines the right database solution for a given company.

**Time series intelligence software —** Users focusing on analyzing, as opposed to just storing time series data, may leverage [time series intelligence software](https://www.g2.com/categories/time-series-intelligence). By utilizing embedded machine learning, time series intelligence tools pull out previously hidden insights—such as microtrends and anomalies—without requiring a human to dig through the data manually, saving a business time and resources.

**NoSQL databases —** While relational databases solutions excel with structured data, [NoSQL databases](https://www.g2.com/categories/nosql-databases) more effectively store loosely structured and unstructured data. NoSQL databases solutions pair well with [relational databases](https://www.g2.com/categories/relational-databases) if a company deals with diverse data that can be collected by both structured and unstructured means.

**Relational databases —** [Relational databases](https://www.g2.com/categories/relational-databases) are helpful in creating scalable repositories for business information. They are also quality tools for back-end application support. They may be synced to applications to make data available to end users.

**Data quality software —** Relational databases struggle with handling unstructured data, and duplicate or incorrect data may throw off the accuracy of results once data becomes structured. [Data quality software](https://www.g2.com/categories/data-quality) helps clean and structure data, which makes it easier to create a formal relational database for that data.