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DBMS > Datomic vs. Manticore Search vs. Spark SQL

System Properties Comparison Datomic vs. Manticore Search vs. Spark SQL

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonManticore Search  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMulti-storage database for search, including full-text search.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSSearch engineRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.datomic.commanticoresearch.comspark.apache.org/­sql
Technical documentationdocs.datomic.commanual.manticoresearch.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCognitectManticore SoftwareApache Software Foundation
Initial release201220172014
Current release1.0.6735, June 20236.0, February 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGPL version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++Scala
Server operating systemsAll OS with a Java VMFreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesFixed schemayes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.noCan index from XMLno
Secondary indexesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
ODBC
Supported programming languagesClojure
Java
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsno
TriggersBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infoPartitioning is done manually, search queries against distributed index is supportedyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSynchronous replication based on Galera librarynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoThe original contents of fields are not stored in the Manticore index.yes
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 developmentno
User concepts infoAccess controlnonono

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DatomicManticore SearchSpark SQL
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