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Cakebase vs QuestDB: What are the differences?
Developers describe Cakebase as "A lightweight json database for node, powerful". It is a lightweight json database for node, powerful. On the other hand, QuestDB is detailed as "Open source database for time series, events, and analytical workloads". QuestDB is an open source database for time series, events, and analytical workloads with a primary focus on performance. It is a very small footprint database that enhances ANSI SQL with time series extensions.
Cakebase and QuestDB can be primarily classified as "Databases" tools.
QuestDB is an open source tool with 1.85K GitHub stars and 85 GitHub forks. Here's a link to QuestDB's open source repository on GitHub.
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Pros of QuestDB
Pros of Cakebase
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Pros of QuestDB
- No dependencies2
- Real-time analytics2
- Open source2
- Postgres wire protocol2
- Time-series data analysis2
- SQL2
- Fast1
- Embedded1
- InfluxDB line protocol1
- HTTP API1
- High-performance1
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What is Cakebase?
It is a lightweight json database for node, powerful.
What is QuestDB?
QuestDB is an open source database for time series, events, and analytical workloads with a primary focus on performance. It enhances ANSI SQL with time series extensions.
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What companies use Cakebase?
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What tools integrate with Cakebase?
What tools integrate with QuestDB?
What tools integrate with Cakebase?
What tools integrate with QuestDB?
What are some alternatives to Cakebase and QuestDB?
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.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web