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DBMS > Apache Pinot vs. HugeGraph

System Properties Comparison Apache Pinot vs. HugeGraph

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA fast-speed and highly-scalable Graph DBMS
Primary database modelRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#231  Overall
#106  Relational DBMS
Score0.09
Rank#353  Overall
#33  Graph DBMS
Websitepinot.apache.orggithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdocs.pinot.apache.orghugegraph.apache.org/­docs
DeveloperApache Software Foundation and contributorsBaidu
Initial release20152018
Current release1.0.0, September 20230.9
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsAll OS with a Java JDK11 or higherLinux
macOS
Unix
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyes infoalso supports composite index and range index
SQL infoSupport of SQLSQL-like query languageno
APIs and other access methodsJDBCJava API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesGo
Java
Python
Groovy
Java
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobs
Triggersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlUsers, roles and permissions

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More resources
Apache PinotHugeGraph
Recent citations in the news

Apache Pinot 1.0 Provides a Realtime Distributed OLAP Datastore
11 December 2023, InfoQ.com

Real-Time Analytics for Mobile App Crashes using Apache Pinot
2 November 2023, Uber

5. The Serving Layer: Apache Pinot - Building Real-Time Analytics Systems [Book]
2 October 2023, O'Reilly Media

StarTree Announces Integration between Apache Pinot and Delta Lake with StarTree Cloud
20 June 2023, Datanami

Speed of Apache Pinot at the Cost of Cloud Object Storage with Tiered Storage
16 August 2023, InfoQ.com

provided by Google News

HugeGraph 部署和Hubble1.0.0的数据导入Bug修复_hugegraph-hubble导入数据
18 October 2023, CSDN

provided by Google News



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