DBMS > DolphinDB vs. Redis vs. TimescaleDB
System Properties Comparison DolphinDB vs. Redis vs. TimescaleDB
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|Editorial information provided by DB-Engines|
|Name||DolphinDB Xexclude from comparison||Redis Xexclude from comparison||TimescaleDB Xexclude from comparison|
|Description||DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.||Popular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies.||A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL|
|Primary database model||Time Series DBMS||Key-value store Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence||Time Series DBMS|
|Secondary database models||Relational DBMS||Document store with RedisJSON|
Graph DBMS with RedisGraph
Search engine with RediSearch
Time Series DBMS with RedisTimeSeries
|Social network pages|
|Developer||DolphinDB, Inc||Redis project core team, inspired by Salvatore Sanfilippo Development sponsored by Redis Inc.||Timescale|
|Current release||v2.00.4, January 2022||7.2.3, November 2023||2.13.0, November 2023|
|License Commercial or Open Source||commercial free community version available||Open Source source-available extensions (modules), commercial licenses for Redis Enterprise||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux|
Windows ported and maintained by Microsoft Open Technologies, Inc.
|Typing predefined data types such as float or date||yes||partial Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes||numerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no||yes|
|Secondary indexes||yes||yes with RediSearch module||yes|
|SQL Support of SQL||SQL-like query language||with RediSQL module||yes full PostgreSQL SQL syntax|
|APIs and other access methods||JDBC|
JSON over HTTP
MQTT (Message Queue Telemetry Transport)
|proprietary protocol RESP - REdis Serialization Protocol||ADO.NET|
native C library
streaming API for large objects
|Supported programming languages||C#|
|Server-side scripts Stored procedures||yes||Lua; Redis Functions coming in Redis 7 (slides and Github)||user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell|
|Triggers||no||publish/subscribe channels provide some trigger functionality; RedisGears||yes|
|Partitioning methods Methods for storing different data on different nodes||horizontal partitioning||Sharding Automatic hash-based sharding with support for hash-tags for manual sharding||yes, across time and space (hash partitioning) attributes|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Multi-source replication with Redis Enterprise Pack|
Source-replica replication Chained replication is supported
|Source-replica replication with hot standby and reads on replicas|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||through RedisGears||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Eventual Consistency|
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
|Foreign keys Referential integrity||no||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||yes||Atomic execution of command blocks and scripts and optimistic locking||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes Data access is serialized by the server||yes|
|Durability Support for making data persistent||yes||yes Configurable mechanisms for persistency via snapshots and/or operations logs||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||yes||no|
|User concepts Access control||Administrators, Users, Groups||Access Control Lists (ACLs): redis.io/docs/management/security/acl|
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/docs/management/security/encryption
|fine grained access rights according to SQL-standard|
|More information provided by the system vendor|
|Specific characteristics||The Redis real-time data platform builds upon the unmatched simplicity and speed...|
|Competitive advantages||Redis Enterprise is a robust in-memory database platform built by the people who...|
|Typical application scenarios||Redis Enterprise is used by large enterprise, startup, and government organizations...|
|Key customers||Verizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...|
|Market metrics||Most launched Docker container per day according to Docker Hub (7.2M launches per...|
|Licensing and pricing models||Redis Enterprise Cloud lets users scale up and down instantly, and pay only for the...|
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||Redisson PRO: The ultra-fast Redis Java Client.|
Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
Navicat for Redis: the award-winning Redis management tool with an intuitive and powerful graphical interface.
CData: Connect to Big Data & NoSQL through standard Drivers.
Read the Redis NoSQL benchmark report.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|DB-Engines blog posts|
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