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DBMS > Raima Database Manager vs. Sadas Engine vs. SAP Adaptive Server vs. Spark SQL

System Properties Comparison Raima Database Manager vs. Sadas Engine vs. SAP Adaptive Server vs. Spark SQL

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Editorial information provided by DB-Engines
NameRaima Database Manager infoformerly named db_Vista  Xexclude from comparisonSadas Engine  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionRDBMS with a small footprint, either embedded into an application or used as a database serverSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#259  Overall
#120  Relational DBMS
#22  Time Series DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score36.31
Rank#25  Overall
#17  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteraima.comwww.sadasengine.comwww.sap.com/­products/­technology-platform/­sybase-ase.htmlspark.apache.org/­sql
Technical documentationdocs.raima.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationhelp.sap.com/­docs/­SAP_ASEspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperRaima Inc.SADAS s.r.l.SAP, SybaseApache Software Foundation
Initial release1984200619872014
Current release15, June 20218.016.03.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C and C++Scala
Server operating systemsAndroid
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
AIX
Linux
Windows
AIX
HP-UX
Linux
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.no infoExporting/Importing of XML structures possiblenonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesyesyesSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Supported programming languages.Net
C
C++
Objective-C
PL/SQL
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Cobol
Java
Java
Perl
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationnoJava and Transact-SQLno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioninghorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yesyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardno
More information provided by the system vendor
Raima Database Manager infoformerly named db_VistaSadas EngineSAP Adaptive Server infoformer name: Sybase ASESpark SQL
Specific characteristicsRaima Database Manager (RDM) is an embedded time-series database optimized to run...
» more
Competitive advantagesDecreased time-to-market Industry-standard interfaces & tools for making your job...
» more
Typical application scenariosTypical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» more
Key customersInfor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsOver 30 000 applications developers worldwide have field-tested RDM products More...
» more
Licensing and pricing modelsJust as the technical aspects of Raima Database Manager are flexible, so are the...
» more
News

Raima Unveils RaimaDB 16.0: Elevating Database Performance and User Experience
29 February 2024

Raima Announces Release of Raima Database Manager (RDM) v15, a Powerful Embedded Time Series Database
10 June 2021

Raima Announces Release of Raima Database Manager (RDM) v14.2, a Powerful IoT Edge Embedded Database
8 October 2020

Raima Joins BlackBerry QNX Channel Partner Program to Deliver Safety-Critical and Secure Software Solutions
1 October 2020

Raima Expands Their Reseller Network in Asia
19 May 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Raima Database Manager infoformerly named db_VistaSadas EngineSAP Adaptive Server infoformer name: Sybase ASESpark SQL
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