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DBMS > Adabas vs. Couchbase vs. CrateDB vs. GraphDB vs. Lovefield

System Properties Comparison Adabas vs. Couchbase vs. CrateDB vs. GraphDB vs. Lovefield

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonCrateDB  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseDistributed Database based on LuceneEnterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.Embeddable relational database for web apps written in pure JavaScript
Primary database modelMultivalue DBMSDocument storeDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Graph DBMS
RDF store
Relational DBMS
Secondary database modelsKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score16.59
Rank#36  Overall
#5  Document stores
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.couchbase.comcratedb.comwww.ontotext.comgoogle.github.io/­lovefield
Technical documentationdocs.couchbase.comcratedb.com/­docsgraphdb.ontotext.com/­documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperSoftware AGCouchbase, Inc.CrateOntotextGoogle
Initial release19712011201320002014
Current releaseServer: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 202310.4, October 20232.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoBusiness Source License (BSL 1.1); Commercial licenses also availableOpen Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedOpen 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.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageC, C++, Go and ErlangJavaJavaJavaScript
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
Windows
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAll OS with a Java VM
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free and OWL/RDFS-schema support; RDF shapesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono
Secondary indexesyesyesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesyes, but no triggers and constraints, and PostgreSQL compatibilitystored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
CLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Supported programming languagesNatural.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScript
Server-side scripts infoStored proceduresin NaturalFunctions and timers in JavaScript and UDFs in Java, Python, SQL++user defined functions (Javascript)well-defined plugin interfaces; JavaScript server-side extensibilityno
Triggersnoyes infovia the TAP protocolnonoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaAutomatic ShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replication infoincluding cross data center replication
Source-replica replication
Configurable replication on table/partition-levelMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Eventual Consistency
Read-after-write consistency on record level
Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)
Foreign keys infoReferential integritynononoyes infoConstraint checkingyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoEphemeral bucketsnoyes infousing MemoryDB
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)User and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.rights management via user accountsDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.no
More information provided by the system vendor
Adabas infodenotes "adaptable data base"Couchbase infoOriginally called MembaseCrateDBGraphDB infoformer name: OWLIMLovefield
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Ontotext GraphDB is a semantic database engine that allows organizations to build...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Metadata enrichment and management, linked data publishing, semantic inferencing...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
GraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more
GraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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