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DBMS > ArcadeDB vs. MaxDB vs. RavenDB vs. Spark SQL vs. SQream DB

System Properties Comparison ArcadeDB vs. MaxDB vs. RavenDB vs. Spark SQL vs. SQream DB

Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonRavenDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenA robust and reliable RDBMS optimized to run all major SAP solutionsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseSpark SQL is a component on top of 'Spark Core' for structured data processinga GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Relational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series 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
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitearcadedb.commaxdb.sap.comravendb.netspark.apache.org/­sqlsqream.com
Technical documentationdocs.arcadedb.commaxdb.sap.com/­documentationravendb.net/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.sqream.com
DeveloperArcade DataSAP, acquired from Software AG (Adabas-D) in 1997Hibernating RhinosApache Software FoundationSQream Technologies
Initial release20211984201020142017
Current releaseSeptember 20217.9.10.12, February 20245.4, July 20223.5.0 ( 2.13), September 20232022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoLimited community edition freeOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C#ScalaC++, CUDA, Haskell, Java, Scala
Server operating systemsAll OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Linux
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes, ANSI Standard SQL Types
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.nonono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLSQL-like query language, no joinsyesSQL-like query language (RQL)SQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
WebDAV
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
ODBC
.Net
JDBC
ODBC
Supported programming languagesJava.Net
C#
Java
Perl
PHP
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyesnouser defined functions in Python
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, utilizing Spark Corehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, Cluster-wide transaction availablenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardAuthorization levels configured per client per databaseno

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More resources
ArcadeDBMaxDB infoformerly named Adabas-DRavenDBSpark SQLSQream DB
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