TimescaleDB

TimescaleDB

Tiger Data
+
+

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About

BangDB natively integrates AI, streaming, graph, analytics within the DB itself to enable users to deal with complex data of different kinds, such as text, images, videos, objects etc. for real time data processing and analysis Ingest or stream any data, process it, train models, do prediction, find patterns, take action and automate all these to enable use cases such as IOT monitoring, fraud or disruption prevention, log analysis, lead generation, 1-on-1 personalisation and many more. Today’s use cases require different kinds of data to be ingested, processed, and queried at the same time for a given problem. BangDB supports most of the useful data formats to allow user to solve the problem in a simple manner. Rise of real time data pushes for real time streaming and predictive data analytics for advanced and optimized business operations.

About

TimescaleDB is the leading time-series database built on PostgreSQL, designed to handle massive volumes of real-time data efficiently. It enables organizations to store, analyze, and query time-series data — such as IoT sensor data, financial transactions, or event logs — using standard SQL. With hypertables, TimescaleDB automatically partitions data by time and ID for fast ingestion and predictable query performance. Its compression engine reduces storage costs by up to 95%, while continuous aggregates make real-time dashboards instantly responsive. Fully compatible with PostgreSQL, it integrates seamlessly with existing tools and applications. TimescaleDB combines the simplicity of Postgres with the scalability and speed of a specialized analytical system.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

NoSQL database platform for developers

Audience

Developers, data engineers, and analytics teams who need high-performance, PostgreSQL-compatible time-series storage and querying for IoT, fintech, DevOps, or event-driven applications

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$2,499 per year
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Supported
Free Trial Supported

Reviews/Ratings

Overall 5.0 / 5
ease 4.5 / 5
features 4.5 / 5
design 4.5 / 5
support 4.5 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Pros & Cons from Real Users

Pros

  • A. Combination of AI, Graph and Stream Processing within database B. Quite simple to work with, intuitive APIs and Interface C. Very high performance D. Almost no db admin is required, it is kind of self managed even in case of DR and Business Continuity
  • BangDB comes with machine learning, streaming, graph and many other features which makes it super easy to get started and implement some of the most complex use cases in speedy manner. Its performance is very high and works well for high load at scale. It provides variety of indexes and query support and implements cypher query language for graph

Cons

  • A. Less documentations, very less resources online B. Minimal ecosystem support in terms of connectors etc
  • BangDB should have better dedicated visualization, right now it is integrated with Grafana which is great but needs to setup workflow etc from UI. Also they need to have better documentations as well.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Not Supported

Company Information

BangDB
Founded: 2012
bangdb.com

Company Information

Tiger Data
Founded: 2015
United States
www.tigerdata.com/timescaledb

Alternatives

Alternatives

Redis

Redis

Redis Labs
InfluxDB

InfluxDB

InfluxData
Azure Cosmos DB

Azure Cosmos DB

Microsoft
DataPortia

DataPortia

Atorcom

Categories

Categories

Integrations

APERIO DataWise Not Supported
AccessOwl Not Supported
DataClarity Unlimited Analytics Not Supported
Dataplane Not Supported
HighByte Intelligence Hub Not Supported
Last9 Not Supported
Mode Not Supported
MyDBA.dev Not Supported
Ndustrial Contxt Not Supported
NexClipper Not Supported
Opralog Not Supported
PostgreSQL Not Supported
Pro Edition for Eclipse Mosquitto Not Supported
QStudio Not Supported
Tiger Data Not Supported
TrendMiner Not Supported
Visplore Not Supported
VisuaLeaf Not Supported
Workers by Delos Not Supported
Wyn Enterprise Not Supported

Integrations

APERIO DataWise Supported
AccessOwl Supported
DataClarity Unlimited Analytics Supported
Dataplane Supported
HighByte Intelligence Hub Supported
Last9 Supported
Mode Supported
MyDBA.dev Supported
Ndustrial Contxt Supported
NexClipper Supported
Opralog Supported
PostgreSQL Supported
Pro Edition for Eclipse Mosquitto Supported
QStudio Supported
Tiger Data Supported
TrendMiner Supported
Visplore Supported
VisuaLeaf Supported
Workers by Delos Supported
Wyn Enterprise Supported
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