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DBMS > Apache Spark (SQL) vs. FoundationDB vs. Memgraph vs. Redis vs. TimescaleDB

System Properties Comparison Apache Spark (SQL) vs. FoundationDB vs. Memgraph vs. Redis vs. TimescaleDB

Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonFoundationDB  Xexclude from comparisonMemgraph  Xexclude from comparisonRedis  Xexclude from comparisonTimescaleDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingOrdered key-value store. Core features are complimented by layers.An open source graph database built for real-time streaming and compatible with Neo4jPopular 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 time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Graph DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceTime Series DBMS
Secondary database modelsDocument store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.62
Rank#29  Overall
#18  Relational DBMS
Score0.89
Rank#197  Overall
#32  Document stores
#29  Key-value stores
#92  Relational DBMS
Score2.54
Rank#98  Overall
#8  Graph DBMS
Score152.19
Rank#7  Overall
#1  Key-value stores
Score3.59
Rank#72  Overall
#5  Time Series DBMS
Websitespark.apache.org/­sqlgithub.com/­apple/­foundationdbmemgraph.comredis.com
redis.io
www.timescale.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlapple.github.io/­foundationdbmemgraph.com/­docsdocs.redis.com/­latest/­index.html
redis.io/­docs
docs.timescale.com
DeveloperApache Software FoundationFoundationDBMemgraph LtdRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.Timescale
Initial release20142013201720092017
Current release3.5.0 ( 2.13), September 20236.2.28, November 20207.2.5, May 20242.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infosource-available extensions (modules), commercial licenses for Redis EnterpriseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++C and C++CC
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
LinuxBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Linux
OS X
Windows
Data schemeyesschema-free infosome layers support schemasschema-free and schema-optionalschema-freeyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nononoyes
Secondary indexesnonoyes infowith RediSearch moduleyes
SQL infoSupport of SQLSQL-like DML and DDL statementssupported in specific SQL layer onlynowith RediSQL moduleyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
Bolt protocol
Cypher query language
proprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava
Python
R
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoin SQL-layer onlyLua; 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
Triggersnonopublish/subscribe channels provide some trigger functionality; RedisGearsyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreShardingSharding infodynamic graph partitioningSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication using RAFTMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
Source-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonothrough RedisGearsno
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Immediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlyyes inforelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infowith snapshot isolationAtomic execution of command blocks and scripts and optimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes 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.noyesyesno
User concepts infoAccess controlnonoUsers, roles and permissionsAccess 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
fine grained access rights according to SQL-standard

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More resources
Apache Spark (SQL)FoundationDBMemgraphRedisTimescaleDB
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