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DBMS > Apache Pinot vs. CrateDB vs. GraphDB vs. LokiJS vs. Microsoft Access

System Properties Comparison Apache Pinot vs. CrateDB vs. GraphDB vs. LokiJS vs. Microsoft Access

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonCrateDB  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyDistributed 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.In-memory JavaScript DBMSMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelRelational DBMSDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Graph DBMS
RDF store
Document storeRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
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
Score0.49
Rank#260  Overall
#42  Document stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websitepinot.apache.orgcratedb.comwww.ontotext.comgithub.com/­techfort/­LokiJSwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.pinot.apache.orgcratedb.com/­docsgraphdb.ontotext.com/­documentationtechfort.github.io/­LokiJSdeveloper.microsoft.com/­en-us/­access
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperApache Software Foundation and contributorsCrateOntotextMicrosoft
Initial release20152013200020141992
Current release1.0.0, September 202310.4, October 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Sourcecommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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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 languageJavaJavaJavaJavaScriptC++
Server operating systemsAll OS with a Java JDK11 or higherAll 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)Windows infoNot a real database server, but making use of DLLs
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-free and OWL/RDFS-schema support; RDF shapesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infovia viewsyes
SQL infoSupport of SQLSQL-like query languageyes, but no triggers and constraints, and PostgreSQL compatibilitystored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCnoyes infobut not compliant to any SQL standard
APIs and other access methodsJDBCADO.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
JavaScript APIADO.NET
DAO
ODBC
OLE DB
Supported programming languagesGo
Java
Python
.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
JavaScriptC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions (Javascript)well-defined plugin interfaces; JavaScript server-side extensibilityView functions in JavaScriptyes infosince Access 2010 using the ACE-engine
Triggersnonoyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)none
Foreign keys infoReferential integritynoyes infoConstraint checkingnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDno infoatomic operations within a single collection possibleACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlrights 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.nono infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
Apache PinotCrateDBGraphDB infoformer name: OWLIMLokiJSMicrosoft Access
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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