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DBMS > InterSystems Caché vs. LevelDB vs. Microsoft Azure AI Search vs. PostgreSQL vs. Redis

System Properties Comparison InterSystems Caché vs. LevelDB vs. Microsoft Azure AI Search vs. PostgreSQL vs. Redis

Editorial information provided by DB-Engines
NameInterSystems Caché  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRedis  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA multi-model DBMS and application serverEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesSearch-as-a-service for web and mobile app developmentWidely 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.
Primary database modelKey-value store
Object oriented DBMS
Relational DBMS
Key-value storeSearch engineRelational 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 persistence
Secondary database modelsDocument storeVector DBMSDocument 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
Score2.35
Rank#111  Overall
#19  Key-value stores
Score5.59
Rank#63  Overall
#7  Search engines
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score157.80
Rank#6  Overall
#1  Key-value stores
Websitewww.intersystems.com/­products/­cachegithub.com/­google/­leveldbazure.microsoft.com/­en-us/­services/­searchwww.postgresql.orgredis.com
redis.io
Technical documentationdocs.intersystems.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdlearn.microsoft.com/­en-us/­azure/­searchwww.postgresql.org/­docsdocs.redis.com/­latest/­index.html
redis.io/­docs
DeveloperInterSystemsGoogleMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.
Initial release1997201120151989 info1989: Postgres, 1996: PostgreSQL2009
Current release2018.1.4, May 20201.23, February 2021V116.2, February 20247.2.4, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercialOpen Source infoBSDOpen Source infosource-available extensions (modules), commercial licenses for Redis Enterprise
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
Implementation languageC++CC
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
hostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemedepending on used data modelschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyespartial 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.yesnonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesnoyesyesyes infowith RediSearch module
SQL infoSupport of SQLyesnonoyes infostandard with numerous extensionswith RediSQL module
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesC#
C++
Java
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C#
Java
JavaScript
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
Server-side scripts infoStored proceduresyesnonouser 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)
Triggersyesnonoyespublish/subscribe channels provide some trigger functionality; RedisGears
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoImplicit feature of the cloud servicepartitioning by range, list and (since PostgreSQL 11) by hashSharding infoAutomatic hash-based sharding with support for hash-tags for manual sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes infoImplicit feature of the cloud serviceSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononothrough RedisGears
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDAtomic execution of command blocks and scripts and optimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyesyes 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.yesnonoyes
User concepts infoAccess controlAccess rights for users, groups and rolesnoyes infousing Azure authenticationfine 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

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