DBMS > Redis vs. RRDtool vs. Sqrrl
System Properties Comparison Redis vs. RRDtool vs. Sqrrl
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|Editorial information provided by DB-Engines|
|Name||Redis Xexclude from comparison||RRDtool Xexclude from comparison||Sqrrl Xexclude from comparison|
|Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.|
|Description||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.||Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. The data is stored in a circular buffer, thus the system storage footprint remains constant over time.||Adaptable, secure NoSQL built on Apache Accumulo|
|Primary database model||Key-value store Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence||Time Series DBMS||Document store|
Wide column store
|Secondary database models||Document store with RedisJSON|
Graph DBMS with RedisGraph
Search engine with RediSearch
Time Series DBMS with RedisTimeSeries
|Social network pages|
|Developer||Redis project core team, inspired by Salvatore Sanfilippo Development sponsored by Redis Inc.||Tobias Oetiker||Amazon originally Sqrrl Data, Inc.|
|Current release||7.2.3, November 2023||1.8.0, 2022|
|License Commercial or Open Source||Open Source source-available extensions (modules), commercial licenses for Redis Enterprise||Open Source GPL V2 and FLOSS||commercial|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C||C Implementations in Java (e.g. RRD4J) and C# available||Java|
|Server operating systems||BSD|
Windows ported and maintained by Microsoft Open Technologies, Inc.
|Typing predefined data types such as float or date||partial Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes||Numeric data only||yes|
|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 Exporting into and restoring from XML files possible|
|Secondary indexes||yes with RediSearch module||no||yes|
|SQL Support of SQL||with RediSQL module||no||no|
|APIs and other access methods||proprietary protocol RESP - REdis Serialization Protocol||in-process shared library|
RESTful HTTP API
|Supported programming languages||C|
|C with librrd library|
C# with a different implementation of RRDTool
Java with a different implementation of RRDTool
PHP with a wrapper library
C using GLib
|Server-side scripts Stored procedures||Lua; Redis Functions coming in Redis 7 (slides and Github)||no||no|
|Triggers||publish/subscribe channels provide some trigger functionality; RedisGears||no||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding Automatic hash-based sharding with support for hash-tags for manual sharding||none||Sharding making use of Hadoop|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication with Redis Enterprise Pack|
Source-replica replication Chained replication is supported
|none||selectable replication factor making use of Hadoop|
|MapReduce Offers an API for user-defined Map/Reduce methods||through RedisGears||no||yes|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
|none||Immediate Consistency Document store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.|
|Foreign keys Referential integrity||no||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Atomic execution of command blocks and scripts and optimistic locking||no||Atomic updates per row, document, or graph entity|
|Concurrency Support for concurrent manipulation of data||yes Data access is serialized by the server||yes by using the rrdcached daemon||yes|
|Durability Support for making data persistent||yes Configurable mechanisms for persistency via snapshots and/or operations logs||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||yes|
|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
|no||Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)|
|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||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.
Redisson PRO: The ultra-fast Redis Java Client.
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.
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