Best Time Series Databases - Page 2
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 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 may provide time series storage functionality.
To qualify for inclusion in the Time Series Databases category, a product must:
Best Time Series Databases At A Glance
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- Overview
- User Satisfaction
- Seller Details
Apache Druid is an open source real-time analytics database. Druid combines ideas from OLAP/analytic databases, timeseries databases, and search systems to create a complete real-time analytics soluti
- Computer Software
- 52% Enterprise
- 29% Mid-Market
4 Twitter followers
- Overview
- User Satisfaction
- Seller Details
Trendalyze is a platform for discovering, predicting, and monitoring patterns in granular time series data collected by sensors, IoT devices, machines, transactional and event log systems. Our self-se
- Information Technology and Services
- 37% Enterprise
- 37% Small-Business
118 Twitter followers
- Overview
- User Satisfaction
- Seller Details
BangDB is a multiflavored, multimodel, embedded, distributed, high performance, analytical, timeseries NoSql database written in C/C++ and design from scratch for solving contemporary and future probl
- 50% Small-Business
- 33% Mid-Market
469 Twitter followers
- Overview
- User Satisfaction
- Seller Details
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.
- 67% Small-Business
- 33% Mid-Market
11,567 Twitter followers
- Overview
- User Satisfaction
- Seller Details
Heroic is an open-source monitoring system originally built at Spotify to address the problems that were facing with large scale gathering and near real-time analysis of metrics.
- 67% Small-Business
- 33% Mid-Market
19,264,271 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
The PI System is an enterprise infrastructure for management of real-time data and events with tools and features to help you manage your data and more.
- 42% Mid-Market
- 37% Enterprise
15,567 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Tinybird is the real-time data platform. At Tinybird, we enable developers and data teams to harness the power of real-time data and quickly build data pipelines and data products. With Tinybird, you
- Computer Software
- 50% Mid-Market
- 36% Small-Business
5,597 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. Bigtable is designed to handle
- 24% Mid-Market
- 17% Enterprise
32,520,271 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
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 includin
- 50% Mid-Market
- 25% Enterprise
57 Twitter followers
- Overview
- User Satisfaction
- Seller Details
Fully managed InfluxDB – the popular, lightweight, high-ingest time series database that you can snap into your workflow in minutes.
- 33% Enterprise
- 33% Small-Business
3,518 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
The eXtremeDB database combines exceptional performance, reliability and developer efficiency in a proven real-time embedded database engine.
- 50% Mid-Market
- 30% Enterprise
4,904 Twitter followers
- Overview
- User Satisfaction
- Seller Details
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
- 33% Enterprise
- 33% Mid-Market
468 Twitter followers
- Overview
- User Satisfaction
- Seller Details
Fast Time Series Database on Cassandra. A time series database server (TSDS) is a software system that is optimized for handling time series data.
- 100% Enterprise
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Historian is an industrial data management software.
- 67% Small-Business
- 33% Mid-Market
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Rockset is the search and analytics database built for the cloud. With real-time indexing and full-featured SQL on JSON, time series, geospatial and vector data, Rockset is the cloud-native alternati
- Information Technology and Services
- 43% Small-Business
- 40% Mid-Market
3,972,668 Twitter followers
