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DBMS > BigchainDB vs. Brytlyt vs. Memcached vs. Microsoft Access vs. Splice Machine

System Properties Comparison BigchainDB vs. Brytlyt vs. Memcached vs. Microsoft Access vs. Splice Machine

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLIn-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.)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeRelational DBMSKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#212  Overall
#36  Document stores
Score0.38
Rank#279  Overall
#126  Relational DBMS
Score20.74
Rank#32  Overall
#4  Key-value stores
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score0.54
Rank#255  Overall
#116  Relational DBMS
Websitewww.bigchaindb.combrytlyt.iowww.memcached.orgwww.microsoft.com/­en-us/­microsoft-365/­accesssplicemachine.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.brytlyt.iogithub.com/­memcached/­memcached/­wikideveloper.microsoft.com/­en-us/­accesssplicemachine.com/­how-it-works
DeveloperBrytlytDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftSplice Machine
Initial release20162016200319922014
Current release5.0, August 20231.6.25, March 20241902 (16.0.11328.20222), March 20193.1, March 2021
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoBSD licensecommercial infoBundled with Microsoft OfficeOpen 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 languagePythonC, C++ and CUDACC++Java
Server operating systemsLinuxLinux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesnoyesyes
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.noyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoyesnoyes infobut not compliant to any SQL standardyes
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocolADO.NET
DAO
ODBC
OLE DB
JDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
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 PL/pgSQLnoyes infosince Access 2010 using the ACE-engineyes infoJava
Triggersyesnoyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationnone infoRepcached, a Memcached patch, provides this functionallitynoneMulti-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 systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
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 datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesnoyes 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.yes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardyes infousing SASL (Simple Authentication and Security Layer) protocolno 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
BigchainDBBrytlytMemcachedMicrosoft AccessSplice Machine
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