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

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

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonITTIA  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingEdge Time Series DBMS with Real-Time Stream 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.
Primary database modelRelational DBMSTime Series DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Secondary database modelsRelational DBMSDocument 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
Score21.62
Rank#29  Overall
#18  Relational DBMS
Score0.47
Rank#253  Overall
#21  Time Series DBMS
Score152.19
Rank#7  Overall
#1  Key-value stores
Websitespark.apache.org/­sqlwww.ittia.comredis.com
redis.io
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.redis.com/­latest/­index.html
redis.io/­docs
DeveloperApache Software FoundationITTIA L.L.C.Redis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.
Initial release201420072009
Current release3.5.0 ( 2.13), September 20238.77.2.5, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infosource-available extensions (modules), commercial licenses for Redis Enterprise
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC and C++C
Server operating systemsLinux
OS X
Windows
Linux
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeyesFixed schemaschema-free
Typing infopredefined data types such as float or dateyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalpartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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 indexesnoyesyes infowith RediSearch module
SQL infoSupport of SQLSQL-like DML and DDL statementsyeswith RediSQL module
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
WebSocket
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesJava
Python
R
Scala
C
C++
JavaScript (Node.js)
Python
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 proceduresnoyesLua; Redis Functions coming in Redis 7 (slides and Github)
Triggersnonopublish/subscribe channels provide some trigger functionality; RedisGears
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreSharding infoAutomatic hash-based sharding with support for hash-tags for manual sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
MapReduce infoOffers an API for user-defined Map/Reduce methodsnothrough 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
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesAtomic execution of command blocks and scripts and optimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoDatabase file passwordsAccess 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

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More resources
Apache Spark (SQL)ITTIARedis
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