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DBMS > Apache Pinot vs. BigchainDB vs. Datomic vs. Memcached vs. Microsoft Access

System Properties Comparison Apache Pinot vs. BigchainDB vs. Datomic vs. Memcached vs. Microsoft Access

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonBigchainDB  Xexclude from comparisonDatomic  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityIn-memory key-value store, originally intended for cachingMicrosoft 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.)
Primary database modelRelational DBMSDocument storeRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websitepinot.apache.orgwww.bigchaindb.comwww.datomic.comwww.memcached.orgwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.pinot.apache.orgbigchaindb.readthedocs.io/­en/­latestdocs.datomic.comgithub.com/­memcached/­memcached/­wikideveloper.microsoft.com/­en-us/­access
DeveloperApache Software Foundation and contributorsCognitectDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoft
Initial release20152016201220031992
Current release1.0.0, September 20231.0.7075, December 20231.6.27, May 20241902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL v3commercial infolimited edition freeOpen Source infoBSD licensecommercial infoBundled with Microsoft Office
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 languageJavaPythonJava, ClojureCC++
Server operating systemsAll OS with a Java JDK11 or higherLinuxAll OS with a Java VMFreeBSD
Linux
OS X
Unix
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesnoyes
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 indexesyesnoyes
SQL infoSupport of SQLSQL-like query languagenononoyes infobut not compliant to any SQL standard
APIs and other access methodsJDBCCLI Client
RESTful HTTP API
RESTful HTTP APIProprietary protocolADO.NET
DAO
ODBC
OLE DB
Supported programming languagesGo
Java
Python
Go
Haskell
Java
JavaScript
Python
Ruby
Clojure
Java
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyes infosince Access 2010 using the ACE-engine
TriggersBy using transaction functionsnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnone infoBut extensive use of caching in the application peersnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoBut extensive use of caching in the application peersnone infoRepcached, a Memcached patch, provides this functionallitynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)noyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and development
User concepts infoAccess controlyesnoyes infousing SASL (Simple Authentication and Security Layer) protocolno infoa simple user-level security was built in till version Access 2003

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More resources
Apache PinotBigchainDBDatomicMemcachedMicrosoft Access
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