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DBMS > EsgynDB vs. Google Cloud Bigtable vs. IBM Db2 vs. Postgres-XL vs. Tibero

System Properties Comparison EsgynDB vs. Google Cloud Bigtable vs. IBM Db2 vs. Postgres-XL vs. Tibero

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 comparisonPostgres-XL  Xexclude from comparisonTibero  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/LinuxBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSKey-value store
Wide column store
Relational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMSRelational DBMS
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Document store
Spatial DBMS
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
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websitewww.esgyn.cncloud.google.com/­bigtablewww.ibm.com/­products/­db2www.postgres-xl.orgus.tmaxsoft.com/­products/­tibero
Technical documentationcloud.google.com/­bigtable/­docswww.ibm.com/­docs/­en/­db2www.postgres-xl.org/­documentationtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperEsgynGoogleIBMTmaxSoft
Initial release201520151983 infohost version2014 infosince 2012, originally named StormDB2003
Current release12.1, October 201610 R1, October 20186, April 2015
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree version is availableOpen Source infoMozilla 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++, JavaC and C++CC and Assembler
Server operating systemsLinuxhostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux
macOS
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyesyesyes
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.nonoyes infoXML type, but no XML query functionalityyes
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesnoyesyes infodistributed, parallel query executionyes
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
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
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
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresJava Stored Proceduresnoyesuser defined functionsPersistent Stored Procedure (PSM)
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoonly with Windows/Unix/Linux Versionhorizontal partitioninghorizontal partitioning infoby range, hash, list or composite
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 replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACIDACID infoMVCCACID
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.nononono infoplanned for next version
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-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
EsgynDBGoogle Cloud BigtableIBM Db2 infoformerly named DB2 or IBM Database 2Postgres-XLTibero
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