DBMS > Hyprcubd vs. Lovefield vs. Redis
System Properties Comparison Hyprcubd vs. Lovefield vs. Redis
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|Editorial information provided by DB-Engines
|Hyprcubd Xexclude from comparison
|Lovefield Xexclude from comparison
|Redis Xexclude from comparison
|Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
|Serverless Time Series DBMS
|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.
|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
|Secondary database models
|Document store with RedisJSON
Graph DBMS with RedisGraph
Search engine with RediSearch
Time Series DBMS with RedisTimeSeries
|Redis project core team, inspired by Salvatore Sanfilippo Development sponsored by Redis Inc.
|2.1.12, February 2017
|7.2.4, January 2024
|License Commercial or Open Source
|Open Source Apache 2.0
|Open Source source-available extensions (modules), commercial licenses for Redis Enterprise
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
Providers of DBaaS offerings, please contact us to be listed.
|Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
|Server operating systems
Windows ported and maintained by Microsoft Open Technologies, Inc.
|Typing predefined data types such as float or date
|yes time, int, uint, float, string
|partial Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
|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.
|yes with RediSearch module
|SQL Support of SQL
|SQL-like query language
|with RediSQL module
|APIs and other access methods
|proprietary protocol RESP - REdis Serialization Protocol
|Supported programming languages
|Server-side scripts Stored procedures
|Lua; Redis Functions coming in Redis 7 (slides and Github)
|Using read-only observers
|publish/subscribe channels provide some trigger functionality; RedisGears
|Partitioning methods Methods for storing different data on different nodes
|Sharding Automatic hash-based sharding with support for hash-tags for manual sharding
|Replication methods Methods for redundantly storing data on multiple nodes
|Multi-source replication with Redis Enterprise Pack
Source-replica replication Chained replication is supported
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
|Foreign keys Referential integrity
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|Atomic execution of command blocks and scripts and optimistic locking
|Concurrency Support for concurrent manipulation of data
|yes Data access is serialized by the server
|Durability Support for making data persistent
|yes, by using IndexedDB or the cloud service Firebase Realtime Database
|yes Configurable mechanisms for persistency via snapshots and/or operations logs
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|yes using MemoryDB
|User concepts Access control
|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
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|Related products and services
|Navicat for Redis: the award-winning Redis management tool with an intuitive and powerful graphical interface.
Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
Redisson PRO: The ultra-fast Redis Java Client.
CData: Connect to Big Data & NoSQL through standard Drivers.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|DB-Engines blog posts
PostgreSQL is the DBMS of the Year 2018 MySQL, PostgreSQL and Redis are the winners of the March ranking MongoDB is the DBMS of the year, defending the title from last year In-memory database Redis wants to dabble in disk Uber's CacheFront: Powering 40M Reads per Second with Significantly Reduced Latency Redis adds support for vector database search in its first unified platform update provided by Google News
MySQL, PostgreSQL and Redis are the winners of the March ranking MongoDB is the DBMS of the year, defending the title from last year In-memory database Redis wants to dabble in disk Uber's CacheFront: Powering 40M Reads per Second with Significantly Reduced Latency Redis adds support for vector database search in its first unified platform update provided by Google News
MongoDB is the DBMS of the year, defending the title from last year In-memory database Redis wants to dabble in disk Uber's CacheFront: Powering 40M Reads per Second with Significantly Reduced Latency Redis adds support for vector database search in its first unified platform update provided by Google News
In-memory database Redis wants to dabble in disk
provided by Google News
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