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DBMS > Apache Pinot vs. Blazegraph vs. Teradata

System Properties Comparison Apache Pinot vs. Blazegraph vs. Teradata

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonBlazegraph  Xexclude from comparisonTeradata  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.A hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitepinot.apache.orgblazegraph.comwww.teradata.com
Technical documentationdocs.pinot.apache.orgwiki.blazegraph.comdocs.teradata.com
DeveloperApache Software Foundation and contributorsBlazegraphTeradata
Initial release201520061984
Current release1.0.0, September 20232.1.5, March 2019Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoextended commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsAll OS with a Java JDK11 or higherLinux
OS X
Windows
hosted
Linux
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.yes
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query languageSPARQL is used as query languageyes infoSQL 2016 + extensions
APIs and other access methodsJDBCJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGo
Java
Python
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
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 Graphsyes
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)fine grained access rights according to SQL-standard

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More resources
Apache PinotBlazegraphTeradata
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