KairosDB Alternatives & Competitors
Top Alternatives to KairosDB
- Redis Enterprise
- Druid
- InfluxDB
- Google Cloud BigTable
- Prometheus
- Amazon Timestream
- Trendalyze
- InfluxData Platform
- Redis Enterprise(30)4.3 out of 5
Redis Enterprise is a managed cloud service for hosting and running your redis dataset with predictable performance.
Categories in common with KairosDB: - Druid(29)4.2 out of 5
Open source streaming data store for interactive analytics at scale.
Categories in common with KairosDB: - InfluxDB(23)4.6 out of 5
InfluxDB is the open source time series database
Categories in common with KairosDB: - Google Cloud BigTable(26)4.3 out of 5
Google Cloud Bigtable is a distributed storage system for managing structured data that is designed to scale to a very large size: petabytes of data across thousands of commodity servers.
Categories in common with KairosDB: - Prometheus(21)4.4 out of 5
An open-source service monitoring system and time series database.
Categories in common with KairosDB: - Amazon Timestream(20)3.6 out of 5
Amazon Timestream is a fast, scalable, fully managed time series database service for IoT and operational applications that makes it easy to store and analyze trillions of events per day at 1/10th the cost of relational databases. Driven by the rise of IoT devices, IT systems, and smart industrial machines, time-series data, data that measures how things change over time, is one of the fastest growing data types.
Categories in common with KairosDB: - Trendalyze(19)4.6 out of 5
Trendalyze is the first motif discovery platform to visualize, search, and monitor for recurring time-series patterns. It is built specifically to scale for big data and IoT sensor data in order to monetize data patterns.
Categories in common with KairosDB: - InfluxData Platform(12)4.0 out of 5
Open source distributed time series, events, and metrics database
Categories in common with KairosDB: - DataStax(13)4.2 out of 5Optimized for quick response
Big data platform built on Apache Cassandra.
Categories in common with KairosDB: - QuestDB(8)5.0 out of 5
QuestDB is the fastest open source time series database on the market. We are a SQL-based TSDB designed from the ground up to provide time series data faster.
Categories in common with KairosDB: - Wavefront(6)3.9 out of 5
Wavefront is a metrics monitoring service for cloud and modern application environments.
Categories in common with KairosDB: - CrateDB(3)4.7 out of 5
Crate.io is a distributed, document-oriented database designed to be used with traditional SQL syntax.
Categories in common with KairosDB: - Warp 10(3)4.0 out of 5
Warp 10 is a platform designed to collect, store and analyze sensor and Time Series data. Warp 10 is both a Time Series Database and an associated analytics environment.
Categories in common with KairosDB: - QuasarDB(3)4.3 out of 5
QuasarDB is a high-performance, distributed, time series database. QuasarDB has been designed to handle the most extreme time series use cases in financial applications. It seamlessly combines, in a single product, in-memory database capabilities with efficient, reliable long-term storage. Scalability is transparent, whether it's for very large and dense time series or millions of smaller ones.
Categories in common with KairosDB: - Versio.io Platform(2)0.0 out of 5
SaaS and on-premise enterprise CMDB software solution based on historizied configuration items.
Categories in common with KairosDB: - Kx Enterprise Platform(1)4.0 out of 5
The Kx Enterprise platform enables rapid but controlled development and operation of high volume, high velocity, Big Data solutions
Categories in common with KairosDB: - Historian(1)4.0 out of 5
Historian is an industrial data management software.
Categories in common with KairosDB: - CortexDB
Cortex offers the same powerful query language, data model and configurable alerts as Prometheus, but we added horizontal scalability and cloud-native storage for virtually infinite data retention.
Categories in common with KairosDB: - Kx Streaming Analytics
Kx Streaming Analytics is the world leader in high-performance, in-memory computing, streaming analytics and operational intelligence. The company’s focus is on delivering the best possible performance and flexibility for high-volume, data-intensive analytics and applications.
Categories in common with KairosDB: - Axibase Time Series Database
ATSD is a distributed NoSQL database designed from the ground up to store and analyze time-series data at scale. Unlike most other databases, ATSD comes with a robust set of built-in features including Rule Engine, Visualization, Data Forecasting, Data Mining and more.
Categories in common with KairosDB:
#1
AT
Super fast. Reliable. Clustering available and affordable
#2
NS
Real-time ingestion and querying capability
Sub-second query performance
Time Series based datastore
Slice N Dice support
Data Compression
#3
AM
I like Influxdb for my time series based monitoring. I have used some other tools in the past like Prometheus, but I liked Influxdb as it requires regular DB commands to manage and store data.
#4
NR
I like most about the security it will provide for the users. user-friendly interface. a beginner can also understand easily . if want to store large amount of data we can choose this
#5
RN
It works on the pull model. This helps the TSDB to decide at what rate it wants to pull the data from the clients.
#6
TO
The features seem like a great product if it actually existed. It was announced at re:invent 2018 but as of June 2020 is still only available in a limited preview. I have made multiple requests for...Read more
#7
UC
Excellent docs available, very good learning rate and high precision and accuracy. I was able to accurately predict the future load which really helped me during my project and get appreciation...Read more
#8
PT
linfluxdb has a greate capability to write huge data and very good speeds while reading data.
#9
AC
1. High Availbility
2. Performance
3. Easy Install and Configured
4. Other Component like Spark,Solr and Graph
5. Easy to manage and save man hours
6. Support
7. Friendly behaviour by DataStax team
#10
GB
I really like the simplicity and ease of use without compromises for performance. It was a very clever idea to implement the Postgres connection protocol and SQL interface; thanks to that, it is...Read more
#11
WT
We used many different tools for metric scale assessment but nothing worked. Then we saw this tool in our browsers and we were not able to back off. We thought of testing it for sometime. We...Read more
#12
UC
CrateDB which is CrateIO's project makes machine data applications that previously were found only in NoSQL solutions available to developers who use SQL. It can handle large amount of messy data...Read more
#13
UI
I can identify the activity of a sensor with different criteria. For example, I'm different times and locations.
#14
IF
The software development team, really go deep on optimization and software quality, exploiting the best of Intel CPU. Very very few software platform are going that way, which explain the...Read more
#15
UC
• 100% automation level for importing assets and configuration items
• Integrated value-added solutions (governance & compliance, cost allocation, Busines process & job monitoring)
• Outstanding...Read more
#16
UI
THe performance as NoSQL, Makes life easy to query the db and analyze the logs, else its very difficult to scrape manually through the logs
#17
UW
There is cost management within the software that has been very helpful for the company.
#18
Be the first to review CortexDB!
Write a Review#19
Be the first to review Kx Streaming Analytics!
Write a Review#20
Be the first to review Axibase Time Series Database!
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