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CockroachDB

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TimescaleDB

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CockroachDB vs TimescaleDB: What are the differences?

Developers describe CockroachDB as "A cloud-native SQL database for building global, scalable cloud services that survive disasters". Cockroach Labs is the company building CockroachDB, an open source, survivable, strongly consistent, scale-out SQL database. On the other hand, TimescaleDB is detailed as "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.

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

TimescaleDB is an open source tool with 7.28K GitHub stars and 385 GitHub forks. Here's a link to TimescaleDB's open source repository on GitHub.

According to the StackShare community, CockroachDB has a broader approval, being mentioned in 13 company stacks & 8 developers stacks; compared to TimescaleDB, which is listed in 15 company stacks and 3 developer stacks.

Advice on CockroachDB and TimescaleDB
Umair Iftikhar
Technical Architect at Vappar · | 3 upvotes · 103.9K views
Needs advice
on
TimescaleDB
Druid
and
Cassandra

Developing a solution that collects Telemetry Data from different devices, nearly 1000 devices minimum and maximum 12000. Each device is sending 2 packets in 1 second. This is time-series data, and this data definition and different reports are saved on PostgreSQL. Like Building information, maintenance records, etc. I want to know about the best solution. This data is required for Math and ML to run different algorithms. Also, data is raw without definitions and information stored in PostgreSQL. Initially, I went with TimescaleDB due to PostgreSQL support, but to increase in sites, I started facing many issues with timescale DB in terms of flexibility of storing data.

My major requirement is also the replication of the database for reporting and different purposes. You may also suggest other options other than Druid and Cassandra. But an open source solution is appreciated.

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Replies (1)
Recommends
MongoDB

Hi Umair, Did you try MongoDB. We are using MongoDB on a production environment and collecting data from devices like your scenario. We have a MongoDB cluster with three replicas. Data from devices are being written to the master node and real-time dashboard UI is using the secondary nodes for read operations. With this setup write operations are not affected by read operations too.

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Needs advice
on
TimescaleDB
MongoDB
and
InfluxDB

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
PostgreSQL

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
Druid

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 · 53.4K views
Recommends
Google 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 CockroachDB and TimescaleDB
Benoit Larroque
Principal Engineer at Sqreen · | 2 upvotes · 48.2K 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 CockroachDB
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
      Paid support for automatic Retention Policy
    • 2
      Fast and scalable
    • 2
      Chunk-based compression
    • 2
      Postgres integration
    • 2
      High-performance
    • 1
      Case studies

    Sign up to add or upvote prosMake informed product decisions

    Cons of CockroachDB
    Cons of TimescaleDB
      Be the first to leave a con
      • 2
        Licensing issues when running on managed databases

      Sign up to add or upvote consMake informed product decisions

      - No public GitHub repository available -

      What is CockroachDB?

      It allows you to deploy a database on-prem, in the cloud or even across clouds, all as a single store. It is a simple and straightforward bridge to your future, cloud-based data architecture.

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

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      What are some alternatives to CockroachDB and TimescaleDB?
      MySQL
      The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
      Oracle
      Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
      Cassandra
      Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
      MongoDB
      MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
      FoundationDB
      FoundationDB is a NoSQL database with a shared nothing architecture. Designed around a "core" ordered key-value database, additional features and data models are supplied in layers. The key-value database, as well as all layers, supports full, cross-key and cross-server ACID transactions.
      See all alternatives