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DBMS > ArcadeDB vs. BigchainDB vs. Microsoft Access vs. Splice Machine vs. Titan

System Properties Comparison ArcadeDB vs. BigchainDB vs. Microsoft Access vs. Splice Machine vs. Titan

Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSplice Machine  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsMicrosoft 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 SparkTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Document storeRelational DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitearcadedb.comwww.bigchaindb.comwww.microsoft.com/­en-us/­microsoft-365/­accesssplicemachine.comgithub.com/­thinkaurelius/­titan
Technical documentationdocs.arcadedb.combigchaindb.readthedocs.io/­en/­latestdeveloper.microsoft.com/­en-us/­accesssplicemachine.com/­how-it-worksgithub.com/­thinkaurelius/­titan/­wiki
DeveloperArcade DataMicrosoftSplice MachineAurelius, owned by DataStax
Initial release20212016199220142012
Current releaseSeptember 20211902 (16.0.11328.20222), March 20193.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL v3commercial infoBundled with Microsoft OfficeOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache license, version 2.0
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 languageJavaPythonC++JavaJava
Server operating systemsAll OS with a Java VMLinuxWindows infoNot a real database server, but making use of DLLsLinux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language, no joinsnoyes infobut not compliant to any SQL standardyesno
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
CLI Client
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
JDBC
Native Spark Datasource
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesJavaGo
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-engineyes infoJavayes
Triggersyes infosince Access 2010 using the ACE-engineyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioningyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factornoneMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsnoyesyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByes infobut no files for transaction loggingyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyesno infoa simple user-level security was built in till version Access 2003Access rights for users, groups and roles according to SQL-standardUser authentification and security via Rexster Graph Server

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More resources
ArcadeDBBigchainDBMicrosoft AccessSplice MachineTitan
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