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DBMS > Databricks vs. Machbase Neo vs. SAP SQL Anywhere vs. Spark SQL vs. Sphinx

System Properties Comparison Databricks vs. Machbase Neo vs. SAP SQL Anywhere vs. Spark SQL vs. Sphinx

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSpark SQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.TimeSeries DBMS for AIoT and BigDataRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsSpark SQL is a component on top of 'Spark Core' for structured data processingOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Relational DBMS
Time Series DBMSRelational DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.17
Rank#337  Overall
#30  Time Series DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.databricks.commachbase.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlspark.apache.org/­sqlsphinxsearch.com
Technical documentationdocs.databricks.commachbase.com/­dbmshelp.sap.com/­docs/­SAP_SQL_Anywherespark.apache.org/­docs/­latest/­sql-programming-guide.htmlsphinxsearch.com/­docs
DeveloperDatabricksMachbaseSAP infoformerly SybaseApache Software FoundationSphinx Technologies Inc.
Initial release20132013199220142001
Current releaseV8.0, August 202317, July 20153.5.0 ( 2.13), September 20233.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercial infofree test version availablecommercialOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCScalaC++
Server operating systemshostedLinux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnoyesno
Secondary indexesyesyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLwith Databricks SQLSQL-like query languageyesSQL-like DML and DDL statementsSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
ADO.NET
HTTP API
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
Supported programming languagesPython
R
Scala
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Python
R
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes, in C/C++, Java, .Net or Perlnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes, utilizing Spark CoreSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replication infoDatabase mirroringnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovolatile and lookup tableyesno
User concepts infoAccess controlsimple password-based access controlfine grained access rights according to SQL-standardnono
More information provided by the system vendor
DatabricksMachbase Neo infoFormer name was InfinifluxSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSpark SQLSphinx
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksMachbase Neo infoFormer name was InfinifluxSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSpark SQLSphinx
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