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DBMS > Machbase Neo vs. SAP Adaptive Server vs. Solr vs. Spark SQL

System Properties Comparison Machbase Neo vs. SAP Adaptive Server vs. Solr vs. Spark SQL

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Editorial information provided by DB-Engines
NameMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonSolr  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionTimeSeries DBMS for AIoT and BigDataThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSA widely used distributed, scalable search engine based on Apache LuceneSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS infowith Boeing's Spatial Query ServerSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#337  Overall
#30  Time Series DBMS
Score35.09
Rank#25  Overall
#17  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitemachbase.comwww.sap.com/­products/­technology-platform/­sybase-ase.htmlsolr.apache.orgspark.apache.org/­sql
Technical documentationmachbase.com/­dbmshelp.sap.com/­docs/­SAP_ASEsolr.apache.org/­resources.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMachbaseSAP, SybaseApache Software FoundationApache Software Foundation
Initial release2013198720062014
Current releaseV8.0, August 202316.09.6.1, May 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infofree test version availablecommercialOpen Source infoApache Version 2Open 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 and C++JavaScala
Server operating systemsLinux
macOS
Windows
AIX
HP-UX
Linux
Solaris
Unix
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Data schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyes
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.nonoyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLSQL-like query languageyesSolr Parallel SQL InterfaceSQL-like DML and DDL statements
APIs and other access methodsgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Java API
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C
C++
Cobol
Java
Java
Perl
PHP
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoJava and Transact-SQLJava pluginsno
Triggersnoyesyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infovolatile and lookup tableyesno
User concepts infoAccess controlsimple password-based access controlfine grained access rights according to SQL-standardyesno

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More resources
Machbase Neo infoFormer name was InfinifluxSAP Adaptive Server infoformer name: Sybase ASESolrSpark SQL
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