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DBMS > Altibase vs. Apache Druid vs. EsgynDB vs. Graph Engine vs. Linter

System Properties Comparison Altibase vs. Apache Druid vs. EsgynDB vs. Graph Engine vs. Linter

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache Druid  Xexclude from comparisonEsgynDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineRDBMS for high security requirements
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSGraph DBMS
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.12
Rank#350  Overall
#152  Relational DBMS
Websitealtibase.comdruid.apache.orgwww.esgyn.cnwww.graphengine.iolinter.ru
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdruid.apache.org/­docs/­latest/­designwww.graphengine.io/­docs/­manual
DeveloperAltibaseApache Software Foundation and contributorsEsgynMicrosoftrelex.ru
Initial release19992012201520101990
Current releasev7.3, 2023, August 202329.0.1, April 2024
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache license v2commercialOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++, Java.NET and CC and C++
Server operating systemsAIX
HP-UX
Linux
Linux
OS X
Unix
Linux.NETAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyesyes infoschema-less columns are supportedyesyesyes
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.nonononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI SQL-92SQL for queryingyesnoyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesC
C++
Java
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBC/ADO.NetC#
C++
F#
Visual Basic
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresstored procedures and stored functionsnoJava Stored Proceduresyesyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomanual/auto, time-basedShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesMulti-source replication between multi datacentersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
AltibaseApache DruidEsgynDBGraph Engine infoformer name: TrinityLinter
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