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DBMS > Firebird vs. H2 vs. Hazelcast vs. Sqrrl vs. TigerGraph

System Properties Comparison Firebird vs. H2 vs. Hazelcast vs. Sqrrl vs. TigerGraph

Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonH2  Xexclude from comparisonHazelcast  Xexclude from comparisonSqrrl  Xexclude from comparisonTigerGraph  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A widely adopted in-memory data gridAdaptable, secure NoSQL built on Apache AccumuloA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSRelational DBMSKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMS
Secondary database modelsSpatial DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.46
Rank#30  Overall
#18  Relational DBMS
Score7.57
Rank#47  Overall
#30  Relational DBMS
Score5.72
Rank#59  Overall
#6  Key-value stores
Score1.44
Rank#152  Overall
#14  Graph DBMS
Websitewww.firebirdsql.orgwww.h2database.comhazelcast.comsqrrl.comwww.tigergraph.com
Technical documentationwww.firebirdsql.org/­en/­reference-manualswww.h2database.com/­html/­main.htmlhazelcast.org/­imdg/­docsdocs.tigergraph.com
DeveloperFirebird FoundationThomas MuellerHazelcastAmazon infooriginally Sqrrl Data, Inc.
Initial release2000 infoAs fork of Borland's InterBase2005200820122017
Current release5.0.1, August 20242.2.220, July 20235.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicenseOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2; commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaJavaJavaC++
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
All OS with a Java VMAll OS with a Java VMLinuxLinux
Data schemeyesyesschema-freeschema-freeyes
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.noyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesSQL-like query languagenoSQL-like query language (GSQL)
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Java.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C++
Java
Server-side scripts infoStored proceduresPSQLJava Stored Procedures and User-Defined Functionsyes infoEvent Listeners, Executor Servicesnoyes
Triggersyesyesyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infoReplicated Mapselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitedAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardRole-based access controlCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Role-based access control

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More resources
FirebirdH2HazelcastSqrrlTigerGraph
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