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DBMS > Databricks vs. Elasticsearch vs. Kingbase vs. Manticore Search

System Properties Comparison Databricks vs. Elasticsearch vs. Kingbase vs. Manticore Search

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonElasticsearch  Xexclude from comparisonKingbase  Xexclude from comparisonManticore Search  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.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Multi-storage database for search, including full-text search.
Primary database modelDocument store
Relational DBMS
Search engineRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
Spatial DBMS
Time Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Websitewww.databricks.comwww.elastic.co/­elasticsearchwww.kingbase.com.cnmanticoresearch.com
Technical documentationdocs.databricks.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlmanual.manticoresearch.com
DeveloperDatabricksElasticBeiJing KINGBASE Information technologies inc.Manticore Software
Initial release2013201019992017
Current release8.6, January 2023V8.0, August 20216.0, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicensecommercialOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and JavaC++
Server operating systemshostedAll OS with a Java VMLinux
Windows
FreeBSD
Linux
macOS
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free infoFlexible type definitions. Once a type is defined, it is persistentyesFixed schema
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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.yesnoyesCan index from XML
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes infofull-text index on all search fields
SQL infoSupport of SQLwith Databricks SQLSQL-like query languageStandard with numerous extensionsSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesPython
R
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesuser defined functionsuser defined functions
Triggersyes infoby using the 'percolation' featureyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integration
User concepts infoAccess controlfine grained access rights according to SQL-standardno
More information provided by the system vendor
DatabricksElasticsearchKingbaseManticore Search
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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