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DBMS > Apache Pinot vs. Blazegraph vs. Datomic

System Properties Comparison Apache Pinot vs. Blazegraph vs. Datomic

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonBlazegraph  Xexclude from comparisonDatomic  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.58
Rank#244  Overall
#111  Relational DBMS
Score0.77
Rank#222  Overall
#20  Graph DBMS
#8  RDF stores
Score1.76
Rank#145  Overall
#66  Relational DBMS
Websitepinot.apache.orgblazegraph.comwww.datomic.com
Technical documentationdocs.pinot.apache.orgwiki.blazegraph.comdocs.datomic.com
DeveloperApache Software Foundation and contributorsBlazegraphCognitect
Initial release201520062012
Current release1.0.0, September 20232.1.5, March 20191.0.6735, June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoextended commercial license availablecommercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, Clojure
Server operating systemsAll OS with a Java JDK11 or higherLinux
OS X
Windows
All OS with a Java VM
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languageSPARQL is used as query languageno
APIs and other access methodsJDBCJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
RESTful HTTP API
Supported programming languagesGo
Java
Python
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresyesyes infoTransaction Functions
TriggersnoBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnone infoBut extensive use of caching in the application peers
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and development
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)no

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More resources
Apache PinotBlazegraphDatomic
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