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DBMS > Apache Spark (SQL) vs. Redis vs. ToroDB

System Properties Comparison Apache Spark (SQL) vs. Redis vs. ToroDB

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonRedis  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingPopular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.A MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceDocument store
Secondary database modelsDocument store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.45
Rank#31  Overall
#19  Relational DBMS
Score157.91
Rank#6  Overall
#1  Key-value stores
Websitespark.apache.org/­sqlredis.com
redis.io
github.com/­torodb/­server
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.redis.com/­latest/­index.html
redis.io/­docs
DeveloperApache Software FoundationRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.8Kdata
Initial release201420092016
Current release3.5.0 ( 2.13), September 20237.2.5, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infosource-available extensions (modules), commercial licenses for Redis EnterpriseOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaCJava
Server operating systemsLinux
OS X
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
All OS with a Java 7 VM
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes infostring, integer, double, boolean, date, object_id
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesnoyes infowith RediSearch module
SQL infoSupport of SQLSQL-like DML and DDL statementswith RediSQL module
APIs and other access methodsJDBC
ODBC
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesJava
Python
R
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresnoLua; Redis Functions coming in Redis 7 (slides and Github)
Triggersnopublish/subscribe channels provide some trigger functionality; RedisGearsno
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsthrough RedisGears
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of command blocks and scripts and optimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAccess 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
Password-based authentication
Access rights for users and roles

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More resources
Apache Spark (SQL)RedisToroDB
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