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DBMS > Databend vs. jBASE vs. MaxDB vs. RavenDB vs. Spark SQL

System Properties Comparison Databend vs. jBASE vs. MaxDB vs. RavenDB vs. Spark SQL

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonjBASE  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonRavenDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA robust multi-value DBMS comprising development tools and middlewareA 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 processing
Primary database modelRelational DBMSMultivalue DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score1.49
Rank#156  Overall
#3  Multivalue 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
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasemaxdb.sap.comravendb.netspark.apache.org/­sql
Technical documentationdocs.databend.comdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9maxdb.sap.com/­documentationravendb.net/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDatabend LabsRocket Software (formerly Zumasys)SAP, acquired from Software AG (Adabas-D) in 1997Hibernating RhinosApache Software Foundation
Initial release20211991198420102014
Current release1.0.59, April 20235.77.9.10.12, February 20245.4, July 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infoLimited community edition freeOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache 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 languageRustC++C#Scala
Server operating systemshosted
Linux
macOS
AIX
Linux
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesoptionalyesnoyes
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.noyesnono
Secondary indexesnoyesyesno
SQL infoSupport of SQLyesEmbedded SQL for jBASE in BASICyesSQL-like query language (RQL)SQL-like DML and DDL statements
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
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
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
Basic
Jabbascript
Java
.Net
C#
Java
Perl
PHP
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesyesyesno
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
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.
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACID, Cluster-wide transaction availableno
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.yesnono
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardAuthorization levels configured per client per databaseno

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More resources
DatabendjBASEMaxDB infoformerly named Adabas-DRavenDBSpark SQL
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