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DBMS > Amazon Redshift vs. Blueflood vs. Microsoft Access vs. Splice Machine

System Properties Comparison Amazon Redshift vs. Blueflood vs. Microsoft Access vs. Splice Machine

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonBlueflood  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsScalable TimeSeries DBMS based on CassandraMicrosoft 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.)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteaws.amazon.com/­redshiftblueflood.iowww.microsoft.com/­en-us/­microsoft-365/­accesssplicemachine.com
Technical documentationdocs.aws.amazon.com/­redshiftgithub.com/­rax-maas/­blueflood/­wikideveloper.microsoft.com/­en-us/­accesssplicemachine.com/­how-it-works
DeveloperAmazon (based on PostgreSQL)RackspaceMicrosoftSplice Machine
Initial release2012201319922014
Current release1902 (16.0.11328.20222), March 20193.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++Java
Server operating systemshostedLinux
OS X
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Solaris
Windows
Data schemeyespredefined schemeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesrestrictednoyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoyes infobut not compliant to any SQL standardyes
APIs and other access methodsJDBC
ODBC
HTTP RESTADO.NET
DAO
ODBC
OLE DB
JDBC
Native Spark Datasource
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnoyes infosince Access 2010 using the ACE-engineyes infoJava
Triggersnonoyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandranoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandranoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnono infoa simple user-level security was built in till version Access 2003Access rights for users, groups and roles according to SQL-standard

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More resources
Amazon RedshiftBluefloodMicrosoft AccessSplice Machine
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