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DBMS > Datomic vs. LeanXcale vs. SAP SQL Anywhere vs. Solr vs. Splice Machine

System Properties Comparison Datomic vs. LeanXcale vs. SAP SQL Anywhere vs. Solr vs. Splice Machine

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonLeanXcale  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSolr  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA widely used distributed, scalable search engine based on Apache LuceneOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.datomic.comwww.leanxcale.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsolr.apache.orgsplicemachine.com
Technical documentationdocs.datomic.comhelp.sap.com/­docs/­SAP_SQL_Anywheresolr.apache.org/­resources.htmlsplicemachine.com/­how-it-works
DeveloperCognitectLeanXcaleSAP infoformerly SybaseApache Software FoundationSplice Machine
Initial release20122015199220062014
Current release1.0.6735, June 202317, July 20159.6.0, April 20243.1, March 2021
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialOpen Source infoApache Version 2Open Source infoAGPL 3.0, commercial license available
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 languageJava, ClojureJavaJava
Server operating systemsAll OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Solaris
Windows
Data schemeyesyesyesyes 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.noyesyes
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoyes infothrough Apache DerbyyesSolr Parallel SQL Interfaceyes
APIs and other access methodsRESTful HTTP APIJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
HTTP API
JDBC
ODBC
Java API
RESTful HTTP/JSON API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesClojure
Java
C
Java
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes, in C/C++, Java, .Net or PerlJava pluginsyes infoJava
TriggersBy using transaction functionsyesyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replication infoDatabase mirroringyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardyesAccess rights for users, groups and roles according to SQL-standard

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More resources
DatomicLeanXcaleSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSolrSplice Machine
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