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EdgeDB

3
34
+ 1
0
TimescaleDB

174
294
+ 1
41
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EdgeDB vs TimescaleDB: What are the differences?

What is EdgeDB? The Next Generation Object-Relational Database. An object-relational database that stores and describes the data as strongly typed objects and relationships between them.

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.

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

Some of the features offered by EdgeDB are:

  • Strict, strongly typed schema
  • Powerful and clean query language
  • Ability to easily work with complex hierarchical data

On the other hand, TimescaleDB provides the following key features:

  • Packaged as a PostgreSQL extension
  • Full ANSI SQL
  • JOINs (e.g., across PostgreSQL tables)

EdgeDB and TimescaleDB are both open source tools. It seems that TimescaleDB with 7.28K GitHub stars and 385 forks on GitHub has more adoption than EdgeDB with 3.01K GitHub stars and 64 GitHub forks.

Advice on EdgeDB 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 · 144.7K 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 EdgeDB and TimescaleDB
Benoit Larroque
Principal Engineer at Sqreen · | 2 upvotes · 75.8K 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 EdgeDB
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 EdgeDB
    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 EdgeDB?

      An object-relational database that stores and describes the data as strongly typed objects and relationships between them.

      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 EdgeDB?
      What companies use TimescaleDB?
        No companies found
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        What tools integrate with EdgeDB?
        What tools integrate with TimescaleDB?

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        What are some alternatives to EdgeDB 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.
        PostgreSQL
        PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
        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.
        Microsoft SQL Server
        Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
        SQLite
        SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.
        See all alternatives