Best Real-time Analytic Database Software

How Many Real-time Analytic Database Software Products Does G2 Track?

Total Products under this Category: 32

Category Stats (Oct 2026)

  • Average Rating: 4.54/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: InfluxDB (+0.11%) - Among all products in this category, InfluxDB recorded the largest rating increase compared to last month

Last updated: October 06, 2026

How Does G2 Rank Real-time Analytic Database Software Products?

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  • 30 Analysts and Data Experts
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  • 32+ Products
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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.

G2 Grid® for Real-time Analytic Database Software

G2 Grid® for Real-time Analytic Database Software plotting products by satisfaction and market presence

Highlighted products: SingleStore, CrateDB, KX, StarTree, and Materialize.

Underlying data: [Grid® JSON](https://www.g2.com/categories/real-time-analytic-database/grids.json?focus%5B%5D=singlestore&focus%5B%5D=cratedb&focus%5B%5D=kx-kx&focus%5B%5D=startree&focus%5B%5D=materialize)

SingleStore

SingleStore enables organizations to scale from one to one million customers, handling SQL, JSON, full text and vector workloads — all in one unified platform.

Average Rating: 4.5/5.0

Total Reviews: 114

How Do G2 Users Rate SingleStore?

  • Ease of Use: 8.7/10 (Category avg: 8.3/10)
  • Quality of Support: 8.7/10 (Category avg: 8.9/10)

Who Is the Company Behind SingleStore?

  • Seller: SingleStore
  • Year Founded: 2011
  • HQ Location: San Francisco, CA
  • Twitter: @SingleStoreDB
    15,447 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    551 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Developer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 39% Large, 37% Small

What Are Recent G2 Reviews of SingleStore?

What Are G2 Users Discussing About SingleStore?

CrateDB

The real-time database for analytics, search, and AI. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source, multi-model, distributed and containerized database that runs queries in milliseconds, regardless of data complexity, volume and velocity.

Average Rating: 4.4/5.0

Total Reviews: 82

How Do G2 Users Rate CrateDB?

  • Ease of Use: 8.9/10 (Category avg: 8.3/10)
  • Quality of Support: 9.1/10 (Category avg: 8.9/10)

Who Is the Company Behind CrateDB?

  • Seller: CrateDB
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Redwood City, CA
  • Twitter: @cratedb
    4,176 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    48 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 54% Small, 31% Medium

What Do G2 Reviewers Say About CrateDB?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of setup and SQL querying in CrateDB, enhancing their productivity and efficiency.
  • Users appreciate the fast and native SQL interface of CrateDB, enabling instant queries on structured and semi-structured data.
  • Users appreciate the easy integrations of CrateDB, streamlining the process for accessing varied data types efficiently.
  • Users value the flexibility of CrateDB, enabling diverse deployment setups and adaptable solutions for various needs.
  • Users value the versatile data support in CrateDB, enjoying features like multi-model data and advanced search capabilities.
Cons
  • Users note a lack of features in CrateDB, particularly missing comparative insights and advanced analytical SQL functionalities.
  • Users find software limitations in CrateDB, such as a lack of connectors and advanced SQL functions, concerning.
  • Users express concerns over limited features in CrateDB, affecting its suitability for diverse operational needs and analytics.
  • Users find the documentation lacking, especially regarding custom configurations and integrations in CrateDB.
  • Users find complex configuration challenging due to limited documentation and lack of control over sharding in CrateDB.

What Are Recent G2 Reviews of CrateDB?

KX

We power the time-aware data-driven decisions that enable fast-moving organizations to realize the full potential of their AI investments and outpace competitors. Our technology delivers transformational value by addressing data challenges around completeness, timeliness, and efficiency. We enable organizations to understand change over time and generate faster, more accurate insights — at any scale, and with cost efficiency. Our technology is essential to the operations of the world's top investment banks, aerospace and defense, high-tech manufacturing, healthcare and life sciences, automotive, and fleet telematics organizations. The primary audience for KX encompasses line-of-business leaders, developers, data scientists, and data engineers who require sophisticated analytics capabilities to create high-performance, data-driven applications. With its unmatched speed and scalability, KX allows users to efficiently process large volumes of data, whether in cloud environments, on-premises, or at the edge. This flexibility ensures that organizations can integrate KX technology into their existing workflows seamlessly, enhancing their analytical capabilities without causing disruptions to ongoing operations. KX distinguishes itself in the analytics landscape through its independently benchmarked performance, recognized as the fastest available on the market. This speed is vital for businesses that depend on real-time data insights to inform their decision-making processes. By enabling users to uncover richer, actionable insights quickly, KX facilitates faster and more informed choices, driving competitive advantage and transformative growth. Its ability to manage complex data sets and deliver insights promptly is particularly advantageous for industries that operate in fast-paced environments, where timely information is critical. Key features of KX include advanced time series and vector data analytics capabilities, which enable efficient management and analysis of extensive data volumes. Furthermore, KX integrates seamlessly with popular analytics tools, enhancing their performance and allowing users to maximize their existing investments. The platform's architecture is designed for high performance, ensuring that organizations can scale their analytics operations as needed without sacrificing speed or efficiency. With a global presence across North America, Europe, and Asia Pacific, KX is trusted by leading organizations to spearhead their data and AI initiatives. By providing a powerful analytics solution, KX not only enhances operational efficiency but also fosters a culture of innovation, empowering businesses to remain competitive in an increasingly data-driven world.

Average Rating: 4.6/5.0

Total Reviews: 50

How Do G2 Users Rate KX?

  • Ease of Use: 6.7/10 (Category avg: 8.3/10)
  • Quality of Support: 8.7/10 (Category avg: 8.9/10)

Who Is the Company Behind KX?

  • Seller: KX
  • Year Founded: 1996
  • HQ Location: NY, USA
  • Twitter: @kxsystems
    4,168 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    492 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Banking
  • Company Size: 57% Large, 25% Small

What Do G2 Reviewers Say About KX?

AI-generated summary from verified user reviews

Pros
  • Users admire the lightning-fast speed of KX's kx-dashboard, enhancing their experience in creating user reports and dashboards.
  • Users find KX's performance exceptional, appreciating its speed and advanced functionalities for creating dashboards and reports.
  • Users highlight the extreme power and versatility of KX products, appreciating their efficiency in data processing.
  • Users praise the powerful and versatile tools of KX, enhancing problem-solving efficiency with advanced support and development.
  • Users commend KX for its unparalleled real-time data processing, enabling quick and efficient, data-driven decisions.
Cons
  • Users find the learning curve steep, requiring significant time and dedication to master KX effectively.
  • Users find the difficult learning curve of KX challenging, especially due to limited external resources and cryptic programming language.
  • Users note a steep learning curve with KX due to limited external resources, but find training materials helpful.
  • Users find KX licenses to be expensive, especially for hobby users or small organizations with limited needs.
  • Users find the initial difficulties with KX challenging due to steep learning curves and limited online resources.

What Are Recent G2 Reviews of KX?

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StarTree

StarTree Cloud is a fully-managed user-facing real-time analytics Database-as-a-Service (DBaaS) designed for OLAP at massive speed and scale. Based on Apache Pinot™, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment.

Average Rating: 4.5/5.0

Total Reviews: 29

How Do G2 Users Rate StarTree?

  • Ease of Use: 7.5/10 (Category avg: 8.3/10)
  • Quality of Support: 8.7/10 (Category avg: 8.9/10)

Who Is the Company Behind StarTree?

  • Seller: StarTree
  • Company Website:
  • Year Founded: 2019
  • HQ Location: Mountain View, California
  • Twitter: @startreedata
    2,275 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    111 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 38% Small, 31% Large

What Do G2 Reviewers Say About StarTree?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the real-time analytics efficiency of StarTree, enabling fast insights and effortless exploration of large datasets.
  • Users appreciate the extremely fast querying capabilities of StarTree, enabling efficient real-time analytics with low latency.
  • Users appreciate the ability to efficiently handle large datasets with fast, real-time analytics on StarTree.
  • Users value the exceptional real-time performance of StarTree, allowing fast analytics and insights from large datasets.
  • Users appreciate the efficient handling of large data volumes with StarTree, enhancing real-time analytics performance significantly.
Cons
  • Users note a steep learning curve with StarTree, which can challenge new teams unfamiliar with real-time OLAP systems.
  • Users find the complex setup process challenging, especially new users managing configurations and integrations.
  • Users find the difficult setup challenging, particularly due to complex configurations and unclear documentation for new users.
  • Users struggle with insufficient documentation, making initial setup and complex configurations challenging, particularly for new users.
  • Users find the documentation lacking, making initial configuration complex and challenging for new users to navigate.

What Are Recent G2 Reviews of StarTree?

Materialize

Materialize is a modern responsive front-end framework based on material design.

Average Rating: 4.7/5.0

Total Reviews: 15

How Do G2 Users Rate Materialize?

  • Ease of Use: 9.5/10 (Category avg: 8.3/10)
  • Quality of Support: 8.1/10 (Category avg: 8.9/10)

Who Is the Company Behind Materialize?

Who Uses This Product?

  • Company Size: 56% Small, 44% Medium

What Are Recent G2 Reviews of Materialize?

What Are G2 Users Discussing About Materialize?

ClickHouse

ClickHouse is the fastest and most resource efficient real-time database and data warehouse. ClickHouse is optimized to serve a wide range of data-intensive workloads, from powering interactive user-facing dashboards to running ad-hoc historical analysis over petabytes of data. Today, ClickHouse Cloud is used by enterprises all over the world, including Lyft, Sony, IBM, GitLab, Twilio, HubSpot, and many more. ClickHouse is available open-source or through cloud services on AWS, GCP, and soon, Azure.

Average Rating: 4.5/5.0

Total Reviews: 23

How Do G2 Users Rate ClickHouse?

  • Ease of Use: 8.9/10 (Category avg: 8.3/10)
  • Quality of Support: 8.5/10 (Category avg: 8.9/10)

Who Is the Company Behind ClickHouse?

  • Seller: ClickHouse
  • Year Founded: 2021
  • HQ Location: Palo Alto, US
  • Twitter: @ClickhouseDB
    18,013 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    682 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 54% Small, 38% Medium

What Do G2 Reviewers Say About ClickHouse?

AI-generated summary from verified user reviews

Pros
  • Users value the easy integrations of ClickHouse, enhancing data visualization and operational insights effortlessly.
  • Users value the smooth integrations with tools like Grafana and dbt for enhanced data visualization and insights.
  • Users praise the query efficiency of ClickHouse, noting its speed and effectiveness even with massive datasets.
  • Users commend ClickHouse for its exceptionally fast query performance, enabling rapid analytics on large datasets.
  • Users love the exceptional speed of ClickHouse, enabling rapid analytics on massive datasets effortlessly.
Cons
  • Users find beginner unfriendliness in ClickHouse due to the complexity of query optimizations requiring advanced knowledge.
  • Users find that complex usage of ClickHouse necessitates advanced expertise, posing challenges for beginners.
  • Users find that complex query optimizations demand specialized knowledge, posing challenges for newcomers to ClickHouse.
  • Users find that required expertise for complex queries can be challenging, especially for newcomers to ClickHouse.
  • Users find that training is required for complex query optimizations, posing challenges for new users.

What Are Recent G2 Reviews of ClickHouse?

What Are G2 Users Discussing About ClickHouse?

Rayven

What is Rayven? Rayven is an operational software platform that delivers an AI data fabric - connecting every system, data source, and data stream across a business into a single managed environment, then letting teams build custom apps, AI agents, workflow automations, dashboards, and MCP servers for direct AI model connectivity on top. It is the platform for organisations that need to act on operational data in real-time, deploy AI that actually works in production + build software that fits the way their business operates - without replacing existing systems or waiting 18 months for results. The Problem Rayven Solves Most organisations already have the systems and data they need. The challenge is fragmentation. ERP systems, SCADA platforms, IoT devices, databases, cloud tools, and files all generate valuable data - but it sits in silos, impossible to act on in real-time. The result: manual reporting, disconnected workflows, and AI projects that fail before reaching production. Industry research shows 95% of AI projects never ship - most because the underlying data layer is not clean, connected, or ready. Rayven builds that foundation first, then activates it. The Rayven Platform Rayven operates across five unified layers, delivered as a single managed environment: - Integration: More than 600 pre-built connectors pull data from IT, OT, IoT, files, APIs, databases, and data streams - bidirectionally, in real-time. Connects industrial protocols (OPC UA, Modbus, MQTT, BACnet) alongside cloud platforms, business systems, and proprietary tools. - Data: All connected data lands in a single managed platform - structured, governed + AI-ready. Real-time processing, ETL pipelines, data lakes, and AI model training handled in one place. - Execution: Automation rules, predictive models + agentic AI run directly on live operational data. Rules-based logic, machine learning, and goal-seeking autonomous agents all operate in one execution environment. - Presentation: Custom apps, dashboards, portals, conversational interfaces, and mobile applications deployed from the same platform - built for specific workflows, not generic reporting. - Security, Governance + Hosting: Role-based access control, data lineage, audit trails, AES-256 encryption, data residency controls, and enterprise-grade infrastructure - included as standard. AI Capabilities Rayven includes ten native AI capabilities built directly into the platform: 1. Custom AI agents (goal-seeking, action-taking) 2. Predictive analytics and machine learning 3. Conversational analytics 4. Real-time and continuous model training 5. AI-led workflow automation 6. Multimodal processing (documents, video, images, audio) 7. Anomaly and risk detection 8. Forecasting and optimisation 9. Vision and edge AI inference 10. Generative operational summaries MCP server support enables direct connectivity for AI models including Claude, GPT, and others. What Gets Built Rayven customers build and deploy: - Custom operational apps and field applications. - AI agents that monitor conditions, detect anomalies + take corrective action autonomously. - Predictive maintenance and performance models running on live plant data. - Real-time dashboards and executive reporting tools. - Workflow automations spanning IT and OT systems. - Customer and partner portals. - Data pipelines and integration layers. - White-label software products delivered under partner brands. Key Differentiators vs. Point solutions (Zapier, MuleSoft, Power BI, DataRobot): point solutions do one thing well but force teams to stitch together five separate tools to cover integration, data, AI, presentation, and governance. Rayven replaces the stack. vs. Traditional enterprise platforms (SAP, Oracle, Palantir): enterprise platforms take 12-18 months and seven figures to implement. Rayven deploys in two to 12 weeks at fixed scope and fixed price. vs. Low-code app builders (Mendix, OutSystems): app builders handle the presentation layer but do not solve the underlying data and integration problem. Rayven covers the full stack. Technology Compatibility Rayven is fully technology-agnostic and works alongside existing systems: - Cloud platforms: Microsoft Azure, Google Cloud + AWS - Business systems: SAP, Salesforce, Oracle, and Microsoft 365 - OT platforms: Siemens, Rockwell, Schneider Electric, and Ignition - Industrial protocols: OPC UA, Modbus, MQTT, BACnet, and EtherNet/IP - IoT devices: any device with a data output - Custom and proprietary systems via API, webhook, or direct connector Nothing needs to be replaced. Every existing investment is preserved. Who Uses Rayven Rayven serves businesses from growth-stage to large enterprise across 24+ industries globally - manufacturing, mining, construction, infrastructure, logistics, utilities, financial services, healthcare, agriculture, government, and more. Customers across Australia, Europe, North America, South America, and Africa. Named customers include Anglo American, Fulton Hogan, Glencore, Vodafone, NSW Ports, CSIRO, Collective Intelligence, Ramjack, and AngloGold Ashanti. Delivery Options - DIY: Full platform access. Internal teams build and deploy independently. - Done-For-You: Australia-based delivery team. Fixed scope, fixed price, two to 12 weeks from brief to go-live. - Hybrid: Guided delivery first, with the customer's team taking increasing ownership over time. By the Numbers - More than 600 pre-built connectors. - Ten native AI capabilities. - More than 240 deployments live globally. - Rated 5/5 across more than 140 independent reviews. - Deploys 66% faster than traditional development. - Two to 12 weeks to first working solution. - Rayven exists to close the gap: 95% of AI projects never reach production (industry average).

Average Rating: 4.9/5.0

Total Reviews: 29

How Do G2 Users Rate Rayven?

  • Ease of Use: 9.9/10 (Category avg: 8.3/10)
  • Quality of Support: 9.9/10 (Category avg: 8.9/10)

Who Is the Company Behind Rayven?

  • Seller: Rayven
  • Year Founded: 2016
  • HQ Location: Sydney, AU
  • Twitter: @RayvenIOT
    56 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    32 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Retail
  • Company Size: 69% Medium, 52% Small

What Do G2 Reviewers Say About Rayven?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Rayven, allowing seamless integration and workflow creation without coding skills.
  • Users value Rayven for its real-time data integration and seamless unification of various tools into one efficient system.
  • Users value Rayven's automation capabilities, enabling seamless integration and real-time data unification for improved performance tracking.
  • Users value the customization capabilities of Rayven, enabling tailored solutions to meet specific healthcare needs seamlessly.
  • Users value the robust data management of Rayven, enabling real-time processing and efficient automation across diverse systems.
Cons
  • Users report a steep initial learning curve due to complex setups and the need for technical knowledge.
  • Users find the difficult learning curve challenging due to overwhelming initial setup and complex feature configurations.
  • Users find the learning difficulty challenging due to the overwhelming initial setup and complex configuration processes.
  • Users find the complex setup of Rayven challenging, necessitating extensive planning for effective use and integration.
  • Users find the setup complexity challenging, often needing extra support for advanced integrations and configurations.

What Are Recent G2 Reviews of Rayven?

DoubleCloud

DoubleCloud is winding down operations. The company ceased creating new accounts on October 1, 2024, and will completely close on March 1, 2025. DoubleCloud specialized in data analytics infrastructure, offering managed services for open-source data technologies. Throughout its operations, DoubleCloud provided tools for building data pipelines, including solutions for data ingestion, storage, orchestration, ELT, and real-time visualization. The company was committed to helping businesses streamline and optimize their data operations with powerful, open-source-based technologies.

Average Rating: 4.9/5.0

Total Reviews: 4

How Do G2 Users Rate DoubleCloud?

  • Ease of Use: 9.2/10 (Category avg: 8.3/10)
  • Quality of Support: 10.0/10 (Category avg: 8.9/10)

Who Is the Company Behind DoubleCloud?

Who Uses This Product?

  • Company Size: 75% Small, 25% Medium

What Are Recent G2 Reviews of DoubleCloud?

InfluxDB

InfluxDB is a purpose-built data platform designed to handle all time series data, from users, sensors, applications and infrastructure — seamlessly collecting, storing, visualizing, and turning insight into action. With a library of more than 300 open source Telegraf plugins, importing and monitoring data from any system is easy. InfluxDB empowers developers to build transformative IoT, monitoring and analytics services and applications. InfluxDB’s flexible architecture fits any implementation — whether in the cloud, at the edge or on premises — and its versatility, accessibility and supporting tools (client libraries, APIs, etc.) make it easy for developers at any level to quickly build applications and services with time series data. Optimized for developer efficiency and productivity, the InfluxDB platform gives builders time to focus on the features and functionalities that give their internal projects value and their applications a competitive edge. To get started, InfluxData offers free training through InfluxDB University at https://university.influxdata.com

Average Rating: 4.5/5.0

Total Reviews: 99

How Do G2 Users Rate InfluxDB?

  • Ease of Use: 8.6/10 (Category avg: 8.3/10)
  • Quality of Support: 8.6/10 (Category avg: 8.9/10)

Who Is the Company Behind InfluxDB?

  • Seller: InfluxData
  • Year Founded: 2012
  • HQ Location: San Francisco, California
  • Twitter: @InfluxData
    22 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    167 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 61% Small, 23% Medium

What Are Recent G2 Reviews of InfluxDB?

What Are G2 Users Discussing About InfluxDB?

CelerData Cloud

CelerData Cloud is the fastest, secure analytical engine that powers customer-facing and AI-driven analytics at scale, delivering consistently reliable and unbeatable performance with a future-proof architecture—ensuring real-time access to open data without ingestion delays or costly data pipelines. Powered by StarRocks, CelerData delivers 3X the performance/cost of any other solution on the market and is the only platform uniquely designed to enable users to simplify their lakehouse architecture and ditch the need for a data warehouse. CelerData is used worldwide by market-leading brands including Coinbase, Pinterest, Demandbase, and Expedia to generate critical new insights for these data-driven companies.

Average Rating: 4.8/5.0

Total Reviews: 3

How Do G2 Users Rate CelerData Cloud?

  • Ease of Use: 9.4/10 (Category avg: 8.3/10)
  • Quality of Support: 10.0/10 (Category avg: 8.9/10)

Who Is the Company Behind CelerData Cloud?

  • Seller: CelerData
  • Year Founded: 2022
  • HQ Location: Menlo Park, US
  • LinkedIn® Page: www.linkedin.com
    78 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Small, 33% Large

What Do G2 Reviewers Say About CelerData Cloud?

AI-generated summary from verified user reviews

Pros
  • Users value the excellent customer support from CelerData Cloud, enhancing their overall experience and confidence in the product.
  • Users value the incredibly fast query performance of CelerData Cloud, enhancing their data strategy transformation confidence.
  • Users value the incredibly fast query performance of CelerData Cloud, supported by a reliable and helpful support team.
  • Users appreciate the fast communication with CelerData Cloud, enabling effective data transformation and support at scale.
  • Users value the incredibly fast query performance of CelerData Cloud, enhancing their data strategy implementation and support.

What Are Recent G2 Reviews of CelerData Cloud?

Tiger Data

Tiger Data, from the creators of TimescaleDB, is the #1 Postgres time-series database for developers, devices and agents. Keep sensor, on-chain, and customer data fresh while retaining years of history, all queryable in standard SQL. For IoT, Web3, and AI. Why teams choose Tiger Data: - Trusted by thousands of developers. 3M+ active databases, 2k+ customers - Up to 95% Compression. Keep years of history online at a fraction of the cost. - Production-ready without the operational pain. Multi-AZ HA, PITR, cross-region backups, SOC 2/HIPAA/GDPR, deep observability. - Scale effortlessly. Disaggregated compute & storage. Never pay for idle capacity. - Unified data architecture. Connect any data source and automatically sync it between your operational database, and data lake. - Hyperscaler procurement. Available on AWS Marketplace and Azure Marketplace. Key capabilities: - Automatic partitioning Ingest millions of data points per second without manual table management or sharding. - Incremental materialized views Precompute and cache rollups for instant dashboards and APIs. - Hybrid row/column storage Fast writes, compressed reads, optimized for real-time and historical queries. - Compression (up to 95%) Columnar encodings apply filters & aggregates directly on compressed data for faster queries and big savings. - Tiered Storage Automatically move older or less-frequently accessed data to low-cost object storage while keeping it fully queryable through the same SQL interface. - Fully managed Postgres Cloud Scale compute and storage independently, tier S3 storage to manage costs, deploy globally, and skip database ops. Industry verticals: Developers and platform teams in Industrial IoT, manufacturing, Crypto, SaaS/ML and DevOps tooling rely on Tiger to combine operational and historical data for real-time dashboards and mission-critical insights, queryable in standard-SQL. How to get started: Try Tiger Cloud for 1-month free with no credit card needed, or use us indefinitely as part of our free plan. Get started now - https://console.cloud.timescale.com/signup?utm_source=g2&utm_medium=referral&utm_campaign=free-trial-g2

Average Rating: 4.6/5.0

Total Reviews: 32

How Do G2 Users Rate Tiger Data?

  • Ease of Use: 8.9/10 (Category avg: 8.3/10)
  • Quality of Support: 9.5/10 (Category avg: 8.9/10)

Who Is the Company Behind Tiger Data?

Who Uses This Product?

  • Top Industries: Financial Services, Computer Software
  • Company Size: 78% Small, 19% Medium

What Do G2 Reviewers Say About Tiger Data?

AI-generated summary from verified user reviews

Pros
  • Users praise the clean and intuitive UI of Tiger Data, making navigation and setup effortless.
  • Users highlight the easy setup of Tiger Data, allowing quick integration and efficient management of databases.
  • Users appreciate the ease of setup, finding it quick and straightforward to start using Tiger Data.
  • Users value the ease of access and actionable insights provided by Tiger Data, enhancing decision-making and analytics.
  • Users praise the performance of Tiger Data, highlighting its speed, accuracy, and user-friendly interface for managing data.
Cons
  • Users find the pricing to be high and inflexible, especially for smaller projects or startups.
  • Users find Tiger Data's expensive licensing burdensome, especially for hobby projects, making budgeting essential for scaling.
  • Users express concerns about missing features like advanced visualizers and experience slow UI when managing many tables.
  • Users experience poor UI with slow loading times, especially when handling large datasets, affecting overall workflow efficiency.
  • Users experience slow performance with the UI, particularly when handling large amounts of data, affecting workflow efficiency.

What Are Recent G2 Reviews of Tiger Data?

Tinybird

Tinybird is a fully managed ClickHouse® service designed for software developers and AI-native product teams by enabling them to create large-scale real-time analytics projects with minimal effort. Tinybird makes integrating the open source ClickHouse database into applications simpler, faster, and more reliable, allowing engineers to focus on feature development rather than infrastructure management. Tinybird eliminates the complexities associated with traditional database management, making it an ideal choice for teams looking to leverage the power of ClickHouse without the overhead of server maintenance and scaling concerns. The target audience for Tinybird includes software developers, data engineers, technical founders, and AI-native product teams building real-time analytics capabilities in their applications. With the increasing demand for real-time data processing, Tinybird caters to teams that need to deliver insights quickly and efficiently. Use cases for Tinybird span various industries, including SaaS, e-commerce, finance, crypto, AI, and IoT, where real-time data analysis is crucial for decision-making and operational efficiency. By providing a managed service, Tinybird allows software engineers to deploy analytics features in days rather than months, significantly accelerating project timelines. Key features of Tinybird include a hosted ClickHouse database plus managed data ingestion and API layers, which simplify the process of integrating analytics into applications. The built-in authentication tools enhance security and data privacy, with support for row-level access policies using JWTs. Free observability logs storage and querying allow users to keep tabs on usage and performance. AI-native features, including Tinybird Code - a CLI agent with deep ClickHouse expertise - plus the Tinybird MCP Server, make integrating analytics features into LLM apps simpler and more robust. Additionally, Tinybird's architecture is designed to handle scaling automatically, allowing teams to focus on their core development tasks without worrying about understanding a new database or worrying about infrastructure details. For those who desire infrastructure control, Tinybird offers self-managed deployment, for free. This unique combination of features enables users to ship data-driven features rapidly while maintaining high performance and reliability. Tinybird stands out in the real-time analytics database landscape by providing the performance of one of the world's fastest OLAP databases without the associated complexity. By abstracting the technical challenges of managing clusters and provisioning resources, Tinybird empowers teams to innovate and iterate on their products more quickly. The service's emphasis on ease of use and rapid deployment makes it an attractive option for organizations looking to harness the power of real-time analytics without the burden of extensive operational overhead. With Tinybird, users can unlock the potential of their data and drive impactful insights, all while enjoying a seamless and efficient development experience.

Average Rating: 4.1/5.0

Total Reviews: 14

How Do G2 Users Rate Tinybird?

  • Ease of Use: 7.7/10 (Category avg: 8.3/10)
  • Quality of Support: 8.6/10 (Category avg: 8.9/10)

Who Is the Company Behind Tinybird?

  • Seller: Tinybird
  • Year Founded: 2019
  • HQ Location: New York, US
  • LinkedIn® Page: www.linkedin.com
    52 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 50% Medium, 36% Small

What Do G2 Reviewers Say About Tinybird?

AI-generated summary from verified user reviews

Pros
  • Users find Tinybird to be incredibly easy to use, enabling seamless integration and efficient data analytics development.
  • Users value the ease of integration and real-time analytics offered by Tinybird, enhancing their data experience.
  • Users love the easy integrations of Tinybird, enabling seamless connections and fast development of real-time analytics.
  • Users appreciate Tinybird's ease of integration and exploration, making data analytics simple and efficient for developers.
  • Users value the easy integrations with apps like Confluent Cloud for streamlined real-time analytics and development.
Cons
  • Users report poor customer support, highlighting slow response times and insufficient documentation for new users.
  • Users note a lack of features in Tinybird, limiting integrations and hindering data flow and scalability.
  • Users experience a steep learning curve with Tinybird, making navigation and feature utilization challenging for newcomers.
  • Users experience a learning difficulty with Tinybird, facing challenges in navigation and utilizing its features effectively.
  • Users face limited customization with Tinybird, which restricts adaptability and complicates integration with other platforms.

What Are Recent G2 Reviews of Tinybird?

What Are G2 Users Discussing About Tinybird?

Apache Pinot

Realtime distributed OLAP datastore, designed to answer OLAP queries with low latency

Average Rating: 4.8/5.0

Total Reviews: 2

How Do G2 Users Rate Apache Pinot?

  • Ease of Use: 5.0/10 (Category avg: 8.3/10)
  • Quality of Support: 10.0/10 (Category avg: 8.9/10)

Who Is the Company Behind Apache Pinot?

Who Uses This Product?

  • Company Size: 50% Medium, 50% Small

What Are Recent G2 Reviews of Apache Pinot?

Imply

Our real-time analytics database, built from Apache Druid, enables developers to build the next generation of analytics applications. With Imply, developers can build without constraints as our database lets them create interactive data experiences on streaming and batch data with limitless scale and at the best economics. Imply delivers the complete developer experience for Apache Druid. Founded by its original creators, Imply adds to the speed and scale of the database with committer-driven expertise, effortless operations, and cloud deployment to meet developers’ application requirements with ease. Backed by leading investors including Thoma Bravo, a16z and Bessemer Venture Partners, Imply is on a fast growth trajectory - disrupting the $100B database market - with customers including Twitter, Salesforce, Atlassian, Reddit, and Intercontinental Exchange.

Average Rating: 4.3/5.0

Total Reviews: 4

How Do G2 Users Rate Imply?

  • Ease of Use: 8.3/10 (Category avg: 8.3/10)
  • Quality of Support: 8.8/10 (Category avg: 8.9/10)

Who Is the Company Behind Imply?

  • Seller: Imply Data, Inc.
  • HQ Location: San Francisco, US
  • Twitter: @implydata
    2,003 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    187 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Large, 25% Medium

What Do G2 Reviewers Say About Imply?

AI-generated summary from verified user reviews

Pros
  • Users value the availability of dedicated support from solutions architects during migration and ongoing technical assistance.
  • Users value the collaboration with dedicated architects, enhancing the effective management of AWS clusters during migration.
  • Users appreciate the ease of use of Imply, benefiting from effective control and monitoring of their clusters.
  • Users appreciate the flexibility and control Imply offers, enhancing their ability to manage and monitor clusters effectively.
  • Users value the flexibility of Imply, enabling control over clusters and significant cost savings in data management.

What Are Recent G2 Reviews of Imply?

Aerospike

Aerospike is the real-time state, context, and decisioning platform for operational AI, helping enterprises ground intelligence in the current reality of their business and turn it into action at scale. More than 2 billion people worldwide interact with applications built on Aerospike. Organizations across AI, financial services, telecom, and adtech, including AMD, Mistral AI, and PayPal, rely on Aerospike to ground their most demanding real-time systems in current enterprise reality. To learn more, visit aerospike.com.

Average Rating: 4.4/5.0

Total Reviews: 80

How Do G2 Users Rate Aerospike?

  • Ease of Use: 8.5/10 (Category avg: 8.3/10)
  • Quality of Support: 8.9/10 (Category avg: 8.9/10)

Who Is the Company Behind Aerospike?

  • Seller: Aerospike
  • Year Founded: 2009
  • HQ Location: Mountain View, CA
  • Twitter: @aerospikedb
    7,825 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    308 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Marketing and Advertising, Information Technology and Services
  • Company Size: 45% Medium, 34% Large

What Are Recent G2 Reviews of Aerospike?

What Are G2 Users Discussing About Aerospike?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated December 15, 2024