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DBMS > Databricks vs. EJDB vs. SAP SQL Anywhere vs. SingleStore

System Properties Comparison Databricks vs. EJDB vs. SAP SQL Anywhere vs. SingleStore

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEJDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSingleStore infoformer name was MemSQL  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.Embeddable document-store database library with JSON representation of queries (in MongoDB style)RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelDocument store
Relational DBMS
Document storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score0.13
Rank#331  Overall
#46  Document stores
Score3.50
Rank#81  Overall
#44  Relational DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitewww.databricks.comgithub.com/­Softmotions/­ejdbwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.singlestore.com
Technical documentationdocs.databricks.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdhelp.sap.com/­docs/­SAP_SQL_Anywheredocs.singlestore.com
DeveloperDatabricksSoftmotionsSAP infoformerly SybaseSingleStore Inc.
Initial release2013201219922013
Current release17, July 20158.5, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2commercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++, Go
Server operating systemshostedserver-lessAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux info64 bit version required
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyes
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.yesyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLwith Databricks SQLnoyesyes infobut no triggers and foreign keys
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
in-process shared libraryADO.NET
HTTP API
JDBC
ODBC
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesPython
R
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes, in C/C++, Java, .Net or Perlyes
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replication infoDatabase mirroringSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardFine grained access control via users, groups and roles
More information provided by the system vendor
DatabricksEJDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSingleStore infoformer name was MemSQL
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksEJDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSingleStore infoformer name was MemSQL
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