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DBMS > EsgynDB vs. Google Cloud Bigtable vs. IBM Db2 Event Store vs. Kdb vs. TinkerGraph

System Properties Comparison EsgynDB vs. Google Cloud Bigtable vs. IBM Db2 Event Store vs. Kdb vs. TinkerGraph

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKdb  Xexclude from comparisonTinkerGraph  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.Distributed Event Store optimized for Internet of Things use casesHigh performance Time Series DBMSA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSKey-value store
Wide column store
Event Store
Time Series DBMS
Time Series DBMS
Vector DBMS
Graph DBMS
Secondary database modelsRelational 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
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitewww.esgyn.cncloud.google.com/­bigtablewww.ibm.com/­products/­db2-event-storekx.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationcloud.google.com/­bigtable/­docswww.ibm.com/­docs/­en/­db2-event-storecode.kx.com
DeveloperEsgynGoogleIBMKx Systems, a division of First Derivatives plc
Initial release2015201520172000 infokdb was released 2000, kdb+ in 20032009
Current release2.03.6, May 2018
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition availablecommercial infofree 32-bit versionOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaC and C++qJava
Server operating systemsLinuxhostedLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyesschema-free
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.nononoyesno
Secondary indexesyesnonoyes infotable attribute 'grouped'no
SQL infoSupport of SQLyesnoyes infothrough the embedded Spark runtimeSQL-like query language (q)no
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
TinkerPop 3
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Groovy
Java
Server-side scripts infoStored proceduresJava Stored Proceduresnoyesuser defined functionsno
Triggersnononoyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioningnone
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 zonesActive-active shard replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono infosimilar paradigm used for internal processingno
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 ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesnonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnonono
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesno
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesyes
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 accountsno
More information provided by the system vendor
EsgynDBGoogle Cloud BigtableIBM Db2 Event StoreKdbTinkerGraph
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
EsgynDBGoogle Cloud BigtableIBM Db2 Event StoreKdbTinkerGraph
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