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DBMS > Drizzle vs. Machbase Neo vs. Microsoft Access vs. Oracle Coherence vs. Sqrrl

System Properties Comparison Drizzle vs. Machbase Neo vs. Microsoft Access vs. Oracle Coherence vs. Sqrrl

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSqrrl  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.TimeSeries DBMS for AIoT and BigDataMicrosoft 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.)Oracles in-memory data grid solutionAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSTime Series DBMSRelational DBMSKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Websitemachbase.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­java/­coherencesqrrl.com
Technical documentationmachbase.com/­dbmsdeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperDrizzle project, originally started by Brian AkerMachbaseMicrosoftOracleAmazon infooriginally Sqrrl Data, Inc.
Initial release20082013199220072012
Current release7.2.4, September 2012V8.0, August 20231902 (16.0.11328.20222), March 201914.1, August 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercial infofree test version availablecommercial infoBundled with Microsoft Officecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC++JavaJava
Server operating systemsFreeBSD
Linux
OS X
Linux
macOS
Windows
Windows infoNot a real database server, but making use of DLLsAll OS with a Java VMLinux
Data schemeyesyesyesschema-freeschema-free
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 indexesyesyesyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like query languageyes infobut not compliant to any SQL standardnono
APIs and other access methodsJDBCgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
ADO.NET
DAO
ODBC
OLE DB
JCache
JPA
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C++
Java
PHP
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C++
Java
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-enginenono
Triggersno infohooks for callbacks inside the server can be used.noyes infosince Access 2010 using the ACE-engineyes infoLive Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factornoneyes, with selectable consistency levelselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infobut no files for transaction loggingconfigurableAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyes infobut no files for transaction loggingyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infovolatile and lookup tableyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPsimple password-based access controlno infoa simple user-level security was built in till version Access 2003authentification to access the cache via certificates or http basic authenticationCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
DrizzleMachbase Neo infoFormer name was InfinifluxMicrosoft AccessOracle CoherenceSqrrl
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