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DBMS > EsgynDB vs. Google Cloud Bigtable vs. IBM Db2 vs. JaguarDB vs. OrientDB

System Properties Comparison EsgynDB vs. Google Cloud Bigtable vs. IBM Db2 vs. JaguarDB vs. OrientDB

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonJaguarDB  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Common in IBM host environments, 2 different versions for host and Windows/LinuxPerformant, highly scalable DBMS for AI and IoT applicationsMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSKey-value store
Wide column store
Relational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBKey-value store
Vector DBMS
Document store
Graph DBMS
Key-value store
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Websitewww.esgyn.cncloud.google.com/­bigtablewww.ibm.com/­products/­db2www.jaguardb.comorientdb.org
Technical documentationcloud.google.com/­bigtable/­docswww.ibm.com/­docs/­en/­db2www.jaguardb.com/­support.htmlwww.orientdb.com/­docs/­last/­index.html
DeveloperEsgynGoogleIBMDataJaguar, Inc.OrientDB LTD; CallidusCloud; SAP
Initial release201520151983 infohost version20152010
Current release12.1, October 20163.3 July 20233.2.29, March 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree version is availableOpen Source infoGPL V3.0Open Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC and C++C++ infothe server part. Clients available in other languagesJava
Server operating systemsLinuxhostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
LinuxAll OS with a Java JDK (>= JDK 6)
Data schemeyesschema-freeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesyesnoyesyesyes
SQL infoSupport of SQLyesnoyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like query language, no joins
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
JDBC
ODBC
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresJava Stored ProceduresnoyesnoJava, Javascript
TriggersnonoyesnoHooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoonly with Windows/Unix/Linux VersionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesyes infowith separate tools (MQ, InfoSphere)Multi-source replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Foreign keys infoReferential integrityyesnoyesnoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardrights management via user accountsAccess rights for users and roles; record level security configurable

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More resources
EsgynDBGoogle Cloud BigtableIBM Db2 infoformerly named DB2 or IBM Database 2JaguarDBOrientDB
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