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DBMS > Apache Pinot vs. Firebird vs. GigaSpaces vs. SAP HANA vs. TinkerGraph

System Properties Comparison Apache Pinot vs. Firebird vs. GigaSpaces vs. SAP HANA vs. TinkerGraph

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonFirebird  Xexclude from comparisonGigaSpaces  Xexclude from comparisonSAP HANA  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyFirebird is an open source RDBMS forked from Borland's InterBaseHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsIn-memory, column based data store. Available as appliance or cloud serviceA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSGraph DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitepinot.apache.orgwww.firebirdsql.orgwww.gigaspaces.comwww.sap.com/­products/­hana.htmltinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.pinot.apache.orgwww.firebirdsql.org/­en/­reference-manualsdocs.gigaspaces.com/­latest/­landing.htmlhelp.sap.com/­hana
DeveloperApache Software Foundation and contributorsFirebird FoundationGigaspaces TechnologiesSAP
Initial release20152000 infoAs fork of Borland's InterBase200020102009
Current release1.0.0, September 20235.0.0, January 202415.5, September 20202.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoInitial Developer's Public LicenseOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++Java, C++, .NetJava
Server operating systemsAll OS with a Java JDK11 or higherAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
macOS
Solaris
Windows
Appliance or cloud-service
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoXML can be used for describing objects metadatanono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like query languageyesSQL-99 for query and DML statementsyesno
APIs and other access methodsJDBCADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
TinkerPop 3
Supported programming languagesGo
Java
Python
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
C++
Java
Python
Scala
Groovy
Java
Server-side scripts infoStored proceduresPSQLyesSQLScript, Rno
Triggersyesyes, event driven architectureyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistencynone
Foreign keys infoReferential integrityyesnoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlUsers with fine-grained authorization conceptRole-based access controlyesno

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Apache PinotFirebirdGigaSpacesSAP HANATinkerGraph
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