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DBMS > EXASOL vs. Google Cloud Firestore vs. PostgreSQL vs. Redis vs. TerarkDB

System Properties Comparison EXASOL vs. Google Cloud Firestore vs. PostgreSQL vs. Redis vs. TerarkDB

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRedis  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLPopular 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 key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSDocument storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Key-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceKey-value store
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Document 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
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score157.80
Rank#6  Overall
#1  Key-value stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.exasol.comfirebase.google.com/­products/­firestorewww.postgresql.orgredis.com
redis.io
github.com/­bytedance/­terarkdb
Technical documentationwww.exasol.com/­resourcesfirebase.google.com/­docs/­firestorewww.postgresql.org/­docsdocs.redis.com/­latest/­index.html
redis.io/­docs
bytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperExasolGooglePostgreSQL Global Development Group infowww.postgresql.org/­developerRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.ByteDance, originally Terark
Initial release200020171989 info1989: Postgres, 1996: PostgreSQL20092016
Current release16.3, May 20247.2.4, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDOpen Source infosource-available extensions (modules), commercial licenses for Redis Enterprisecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCCC++
Server operating systemshostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesno
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.nonoyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesyesyes infowith RediSearch moduleno
SQL infoSupport of SQLyesnoyes infostandard with numerous extensionswith RediSQL moduleno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
proprietary protocol infoRESP - REdis Serialization ProtocolC++ API
Java API
Supported programming languagesJava
Lua
Python
R
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
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
C++
Java
Server-side scripts infoStored proceduresuser defined functionsyes, Firebase Rules & Cloud Functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Lua; Redis Functions coming in Redis 7 (slides and Github)no
Triggersyesyes, with Cloud Functionsyespublish/subscribe channels provide some trigger functionality; RedisGearsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hashSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationUsing Cloud Dataflownothrough RedisGearsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDAtomic execution of command blocks and scripts and optimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyesyesyes 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.yesnoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standardAccess 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
no

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More resources
EXASOLGoogle Cloud FirestorePostgreSQLRedisTerarkDB
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