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DBMS > AntDB vs. BoltDB vs. Databricks vs. RocksDB

System Properties Comparison AntDB vs. BoltDB vs. Databricks vs. RocksDB

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Editorial information provided by DB-Engines
NameAntDB  Xexclude from comparisonBoltDB  Xexclude from comparisonDatabricks  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleAn embedded key-value store for Go.The 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 persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSKey-value storeDocument store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#342  Overall
#149  Relational DBMS
Score0.70
Rank#225  Overall
#31  Key-value stores
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Websitewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmlgithub.com/­boltdb/­boltwww.databricks.comrocksdb.org
Technical documentationdocs.databricks.comgithub.com/­facebook/­rocksdb/­wiki
DeveloperAsiaInfo Technologies LimitedDatabricksFacebook, Inc.
Initial release201320132013
Current release9.4.0, June 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicensecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesnono
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.noyesno
Secondary indexesyesnoyesno
SQL infoSupport of SQLSQL2016 compliantnowith Databricks SQLno
APIs and other access methodsJDBC
MySQL protocol compliant
ODBC
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesGoPython
R
Scala
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions and aggregatesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlnono
More information provided by the system vendor
AntDBBoltDBDatabricksRocksDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
AntDBBoltDBDatabricksRocksDB
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