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DBMS > RavenDB vs. SAP Adaptive Server vs. Spark SQL vs. VictoriaMetrics

System Properties Comparison RavenDB vs. SAP Adaptive Server vs. Spark SQL vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameRavenDB  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonSpark SQL  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSSpark SQL is a component on top of 'Spark Core' for structured data processingA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Spatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.92
Rank#101  Overall
#18  Document stores
Score36.31
Rank#25  Overall
#17  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websiteravendb.netwww.sap.com/­products/­technology-platform/­sybase-ase.htmlspark.apache.org/­sqlvictoriametrics.com
Technical documentationravendb.net/­docshelp.sap.com/­docs/­SAP_ASEspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperHibernating RhinosSAP, SybaseApache Software FoundationVictoriaMetrics
Initial release2010198720142018
Current release5.4, July 202216.03.5.0 ( 2.13), September 2023v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoAGPL version 3, commercial license availablecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C and C++ScalaGo
Server operating systemsLinux
macOS
Raspberry Pi
Windows
AIX
HP-UX
Linux
Solaris
Unix
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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 indexesyesyesno
SQL infoSupport of SQLSQL-like query language (RQL)yesSQL-like DML and DDL statementsno
APIs and other access methods.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Cobol
Java
Java
Perl
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesJava and Transact-SQLnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
noneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemDefault 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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Cluster-wide transaction availableACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAuthorization levels configured per client per databasefine grained access rights according to SQL-standardno

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More resources
RavenDBSAP Adaptive Server infoformer name: Sybase ASESpark SQLVictoriaMetrics
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