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OpenTSDB

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41
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OpenTSDB vs TimescaleDB: What are the differences?

What is OpenTSDB? A scalable time series database. It is a distributed, scalable time series database to store, index & serve metrics collected from computer systems at a large scale. It can store and serve massive amounts of time series data without losing granularity.

What is TimescaleDB? Scalable time-series database optimized for fast ingest and complex queries. Purpose-built as a PostgreSQL extension. TimescaleDB is the only open-source time-series database that natively supports full-SQL at scale, combining the power, reliability, and ease-of-use of a relational database with the scalability typically seen in NoSQL databases.

OpenTSDB and TimescaleDB can be categorized as "Databases" tools.

OpenTSDB and TimescaleDB are both open source tools. It seems that TimescaleDB with 7.39K GitHub stars and 393 forks on GitHub has more adoption than OpenTSDB with 3.81K GitHub stars and 1.11K GitHub forks.

WakaTime, ScreenAware, and AgFlow are some of the popular companies that use TimescaleDB, whereas OpenTSDB is used by Cloudinsight, SAYMON, and Server Density. TimescaleDB has a broader approval, being mentioned in 21 company stacks & 19 developers stacks; compared to OpenTSDB, which is listed in 4 company stacks and 6 developer stacks.

Advice on OpenTSDB and TimescaleDB
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TimescaleDBTimescaleDBMongoDBMongoDB
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InfluxDBInfluxDB

We are building an IOT service with heavy write throughput and fewer reads (we need downsampling records). We prefer to have good reliability when comes to data and prefer to have data retention based on policies.

So, we are looking for what is the best underlying DB for ingesting a lot of data and do queries easily

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Replies (3)
Yaron Lavi
Recommends
PostgreSQLPostgreSQL

We had a similar challenge. We started with DynamoDB, Timescale, and even InfluxDB and Mongo - to eventually settle with PostgreSQL. Assuming the inbound data pipeline in queued (for example, Kinesis/Kafka -> S3 -> and some Lambda functions), PostgreSQL gave us a We had a similar challenge. We started with DynamoDB, Timescale and even InfluxDB and Mongo - to eventually settle with PostgreSQL. Assuming the inbound data pipeline in queued (for example, Kinesis/Kafka -> S3 -> and some Lambda functions), PostgreSQL gave us better performance by far.

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Recommends
DruidDruid

Druid is amazing for this use case and is a cloud-native solution that can be deployed on any cloud infrastructure or on Kubernetes. - Easy to scale horizontally - Column Oriented Database - SQL to query data - Streaming and Batch Ingestion - Native search indexes It has feature to work as TimeSeriesDB, Datawarehouse, and has Time-optimized partitioning.

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Ankit Malik
Software Developer at CloudCover · | 3 upvotes · 147.2K views
Recommends
Google BigQueryGoogle BigQuery

if you want to find a serverless solution with capability of a lot of storage and SQL kind of capability then google bigquery is the best solution for that.

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Decisions about OpenTSDB and TimescaleDB
Benoit Larroque
Principal Engineer at Sqreen · | 2 upvotes · 76.6K views

I chose TimescaleDB because to be the backend system of our production monitoring system. We needed to be able to keep track of multiple high cardinality dimensions.

The drawbacks of this decision are our monitoring system is a bit more ad hoc than it used to (New Relic Insights)

We are combining this with Grafana for display and Telegraf for data collection

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Pros of OpenTSDB
Pros of TimescaleDB
    Be the first to leave a pro
    • 8
      Open source
    • 7
      Easy Query Language
    • 6
      Time-series data analysis
    • 5
      Established postgresql API and support
    • 4
      Reliable
    • 2
      Postgres integration
    • 2
      Fast and scalable
    • 2
      High-performance
    • 2
      Chunk-based compression
    • 2
      Paid support for automatic Retention Policy
    • 1
      Case studies

    Sign up to add or upvote prosMake informed product decisions

    Cons of OpenTSDB
    Cons of TimescaleDB
      Be the first to leave a con
      • 5
        Licensing issues when running on managed databases

      Sign up to add or upvote consMake informed product decisions

      What is OpenTSDB?

      It is a distributed, scalable time series database to store, index & serve metrics collected from computer systems at a large scale. It can store and serve massive amounts of time series data without losing granularity.

      What is TimescaleDB?

      TimescaleDB: An open-source database built for analyzing time-series data with the power and convenience of SQL — on premise, at the edge, or in the cloud.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use OpenTSDB?
      What companies use TimescaleDB?
      See which teams inside your own company are using OpenTSDB or TimescaleDB.
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      What tools integrate with OpenTSDB?
      What tools integrate with TimescaleDB?

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      Blog Posts

      Jan 26 2022 at 4:34AM

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      Amazon EC2RocksDBOpenTSDB+3
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      What are some alternatives to OpenTSDB and TimescaleDB?
      Prometheus
      Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
      Druid
      Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.
      KairosDB
      KairosDB is a fast distributed scalable time series database written on top of Cassandra.
      InfluxDB
      InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.
      Graphite
      Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand
      See all alternatives