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DBMS > Altibase vs. Amazon Neptune vs. EJDB vs. Firebird vs. TimesTen

System Properties Comparison Altibase vs. Amazon Neptune vs. EJDB vs. Firebird vs. TimesTen

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonEJDB  Xexclude from comparisonFirebird  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSFast, reliable graph database built for the cloudEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Firebird is an open source RDBMS forked from Borland's InterBaseIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSGraph DBMS
RDF store
Document storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.27
Rank#297  Overall
#44  Document stores
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitealtibase.comaws.amazon.com/­neptunegithub.com/­Softmotions/­ejdbwww.firebirdsql.orgwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsaws.amazon.com/­neptune/­developer-resourcesgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.firebirdsql.org/­en/­reference-manualsdocs.oracle.com/­database/­timesten-18.1
DeveloperAltibaseAmazonSoftmotionsFirebird FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release1999201720122000 infoAs fork of Borland's InterBase1998
Current releasev7.3, 2023, August 20235.0.0, January 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialOpen Source infoGPLv2Open Source infoInitial Developer's Public Licensecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC and C++
Server operating systemsAIX
HP-UX
Linux
hostedserver-lessAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, bool, date, object_idyesyes
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.nonono
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLANSI SQL-92nonoyesyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
in-process shared libraryADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C++
Java
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresstored procedures and stored functionsnonoPSQLPL/SQL
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.noneSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyes infoRelationships in graphsno infotypically not needed, however similar functionality with collection joins possibleyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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AltibaseAmazon NeptuneEJDBFirebirdTimesTen
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