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DBMS > Databricks vs. Manticore Search vs. Oracle Coherence vs. searchxml

System Properties Comparison Databricks vs. Manticore Search vs. Oracle Coherence vs. searchxml

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonManticore Search  Xexclude from comparisonOracle Coherence  Xexclude from comparisonsearchxml  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.Multi-storage database for search, including full-text search.Oracles in-memory data grid solutionDBMS for structured and unstructured content wrapped with an application server
Primary database modelDocument store
Relational DBMS
Search engineKey-value storeNative XML DBMS
Search engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score1.97
Rank#129  Overall
#22  Key-value stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websitewww.databricks.commanticoresearch.comwww.oracle.com/­java/­coherencewww.searchxml.net/­category/­products
Technical documentationdocs.databricks.commanual.manticoresearch.comdocs.oracle.com/­en/­middleware/­standalone/­coherencewww.searchxml.net/­support/­handouts
DeveloperDatabricksManticore SoftwareOracleinformationpartners gmbh
Initial release2013201720072015
Current release6.0, February 202314.1, August 20231.0
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++
Server operating systemshostedFreeBSD
Linux
macOS
Windows
All OS with a Java VMWindows
Data schemeFlexible Schema (defined schema, partial schema, schema free)Fixed schemaschema-freeschema-free
Typing infopredefined data types such as float or dateInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.yesCan index from XMLnoyes
Secondary indexesyesyes infofull-text index on all search fieldsnoyes
SQL infoSupport of SQLwith Databricks SQLSQL-like query languagenono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JCache
JPA
RESTful HTTP API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesPython
R
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C++
Java
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsnoyes infoon the application server
Triggersnoyes infoLive Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication based on Galera libraryyes, with selectable consistency levelyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate 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 writesconfigurablemultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoauthentification to access the cache via certificates or http basic authenticationDomain, group and role-based access control at the document level and for application services
More information provided by the system vendor
DatabricksManticore SearchOracle Coherencesearchxml
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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