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DBMS > Apache Pinot vs. Axibase vs. Google Cloud Datastore vs. Hyprcubd vs. TigerGraph

System Properties Comparison Apache Pinot vs. Axibase vs. Google Cloud Datastore vs. Hyprcubd vs. TigerGraph

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonAxibase  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHyprcubd  Xexclude from comparisonTigerGraph  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformServerless Time Series DBMSA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSTime Series DBMSDocument storeTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitepinot.apache.orgaxibase.com/­docs/­atsd/­financecloud.google.com/­datastorehyprcubd.com (offline)www.tigergraph.com
Technical documentationdocs.pinot.apache.orgcloud.google.com/­datastore/­docsdocs.tigergraph.com
DeveloperApache Software Foundation and contributorsAxibase CorporationGoogleHyprcubd, Inc.
Initial release2015201320082017
Current release1.0.0, September 202315585
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGoC++
Server operating systemsAll OS with a Java JDK11 or higherLinuxhostedhostedLinux
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringyes, details hereyes infotime, int, uint, float, stringyes
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.nononono
Secondary indexesnoyesno
SQL infoSupport of SQLSQL-like query languageSQL-like query languageSQL-like query language (GQL)SQL-like query languageSQL-like query language (GSQL)
APIs and other access methodsJDBCJDBC
Proprietary protocol (Network API)
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
gRPC (https)GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesGo
Java
Python
Go
Java
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresyesusing Google App Enginenoyes
TriggersyesCallbacks using the Google Apps Enginenono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)token accessRole-based access control

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More resources
Apache PinotAxibaseGoogle Cloud DatastoreHyprcubdTigerGraph
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