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DBMS > Apache Pinot vs. Atos Standard Common Repository vs. HugeGraph vs. Yaacomo

System Properties Comparison Apache Pinot vs. Atos Standard Common Repository vs. HugeGraph vs. Yaacomo

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHugeGraph  Xexclude from comparisonYaacomo  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA fast-speed and highly-scalable Graph DBMSOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSDocument store
Key-value store
Graph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Websitepinot.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­hugegraph
hugegraph.apache.org
yaacomo.com
Technical documentationdocs.pinot.apache.orghugegraph.apache.org/­docs
DeveloperApache Software Foundation and contributorsAtos Convergence CreatorsBaiduQ2WEB GmbH
Initial release2015201620182009
Current release1.0.0, September 202317030.9
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemsAll OS with a Java JDK11 or higherLinuxLinux
macOS
Unix
Android
Linux
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.yesnono
Secondary indexesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSQL-like query languagenonoyes
APIs and other access methodsJDBCLDAPJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
Supported programming languagesGo
Java
Python
All languages with LDAP bindingsGroovy
Java
Python
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobs
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infocell divisionyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlLDAP bind authenticationUsers, roles and permissionsfine grained access rights according to SQL-standard

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More resources
Apache PinotAtos Standard Common RepositoryHugeGraphYaacomo
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