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DBMS > Axibase vs. FatDB vs. Google Cloud Bigtable vs. IBM Db2 Event Store vs. STSdb

System Properties Comparison Axibase vs. FatDB vs. Google Cloud Bigtable vs. IBM Db2 Event Store vs. STSdb

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonFatDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonSTSdb  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationA .NET NoSQL DBMS that can integrate with and extend SQL Server.Google'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 casesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelTime Series DBMSDocument store
Key-value store
Key-value store
Wide column store
Event Store
Time Series DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#292  Overall
#25  Time Series 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
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteaxibase.com/­docs/­atsd/­financecloud.google.com/­bigtablewww.ibm.com/­products/­db2-event-storegithub.com/­STSSoft/­STSdb4
Technical documentationcloud.google.com/­bigtable/­docswww.ibm.com/­docs/­en/­db2-event-store
DeveloperAxibase CorporationFatCloudGoogleIBMSTS Soft SC
Initial release20132012201520172011
Current release155852.04.0.8, September 2015
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialcommercialcommercial infofree developer edition availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#C and C++C#
Server operating systemsLinuxWindowshostedLinux infoLinux, macOS, Windows for the developer additionWindows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesnoyesyes infoprimitive types and user defined types (classes)
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 indexesnoyesnonono
SQL infoSupport of SQLSQL-like query languageno infoVia inetgration in SQL Servernoyes infothrough the embedded Spark runtimeno
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
Supported programming languagesGo
Java
PHP
Python
R
Ruby
C#C#
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#
Java
Server-side scripts infoStored proceduresyesyes infovia applicationsnoyesno
Triggersyesyes infovia applicationsnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorInternal replication in Colossus, and regional replication between two clusters in different zonesActive-active shard replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic single-row operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardno

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More resources
AxibaseFatDBGoogle Cloud BigtableIBM Db2 Event StoreSTSdb
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