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DBMS > Blueflood vs. Ehcache vs. Microsoft Access vs. searchxml vs. Splice Machine

System Properties Comparison Blueflood vs. Ehcache vs. Microsoft Access vs. searchxml vs. Splice Machine

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonEhcache  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonsearchxml  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraA widely adopted Java cache with tiered storage optionsMicrosoft 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.)DBMS for structured and unstructured content wrapped with an application serverOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelTime Series DBMSKey-value storeRelational DBMSNative XML DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteblueflood.iowww.ehcache.orgwww.microsoft.com/­en-us/­microsoft-365/­accesswww.searchxml.net/­category/­productssplicemachine.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.ehcache.org/­documentationdeveloper.microsoft.com/­en-us/­accesswww.searchxml.net/­support/­handoutssplicemachine.com/­how-it-works
DeveloperRackspaceTerracotta Inc, owned by Software AGMicrosoftinformationpartners gmbhSplice Machine
Initial release20132009199220152014
Current release3.10.0, March 20221902 (16.0.11328.20222), March 20191.03.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availablecommercial 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++C++Java
Server operating systemsLinux
OS X
All OS with a Java VMWindows infoNot a real database server, but making use of DLLsWindowsLinux
OS X
Solaris
Windows
Data schemepredefined schemeschema-freeyesschema-freeyes
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.nonoyes
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoyes infobut not compliant to any SQL standardnoyes
APIs and other access methodsHTTP RESTJCacheADO.NET
DAO
ODBC
OLE DB
RESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++ infomost other programming languages supported via APIsC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-engineyes infoon the application serveryes infoJava
Triggersnoyes infoCache Event Listenersyes infosince Access 2010 using the ACE-enginenoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infoby using Terracotta ServernonenoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes infoby using Terracotta Servernoneyes infosychronisation to multiple collectionsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Tunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infosupports JTA and can work as an XA resourceACID infobut no files for transaction loggingmultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyes 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.noyesnoyes
User concepts infoAccess controlnonono infoa simple user-level security was built in till version Access 2003Domain, group and role-based access control at the document level and for application servicesAccess rights for users, groups and roles according to SQL-standard

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More resources
BluefloodEhcacheMicrosoft AccesssearchxmlSplice Machine
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