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DBMS > Blueflood vs. FatDB vs. Microsoft Access vs. SAP Adaptive Server vs. Splice Machine

System Properties Comparison Blueflood vs. FatDB vs. Microsoft Access vs. SAP Adaptive Server vs. Splice Machine

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonFatDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonSplice Machine  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 CassandraA .NET NoSQL DBMS that can integrate with and extend SQL Server.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)The SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelTime Series DBMSDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score35.09
Rank#25  Overall
#17  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteblueflood.iowww.microsoft.com/­en-us/­microsoft-365/­accesswww.sap.com/­products/­technology-platform/­sybase-ase.htmlsplicemachine.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikideveloper.microsoft.com/­en-us/­accesshelp.sap.com/­docs/­SAP_ASEsplicemachine.com/­how-it-works
DeveloperRackspaceFatCloudMicrosoftSAP, SybaseSplice Machine
Initial release20132012199219872014
Current release1902 (16.0.11328.20222), March 201916.03.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infoBundled with Microsoft OfficecommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#C++C and C++Java
Server operating systemsLinux
OS X
WindowsWindows infoNot a real database server, but making use of DLLsAIX
HP-UX
Linux
Solaris
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemepredefined schemeschema-freeyesyesyes
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.nono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnono infoVia inetgration in SQL Serveryes infobut not compliant to any SQL standardyesyes
APIs and other access methodsHTTP REST.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Cobol
Java
Java
Perl
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infovia applicationsyes infosince Access 2010 using the ACE-engineJava and Transact-SQLyes infoJava
Triggersnoyes infovia applicationsyes infosince Access 2010 using the ACE-engineyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingnonehorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraselectable replication factornoneMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infobut no files for transaction loggingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnono infoCan implement custom security layer via applicationsno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
BluefloodFatDBMicrosoft AccessSAP Adaptive Server infoformer name: Sybase ASESplice Machine
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