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DBMS > BoltDB vs. Databricks vs. RisingWave vs. RocksDB

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

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDatabricks  Xexclude from comparisonRisingWave  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionAn 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.A distributed RDBMS for stream processing, wire-compatible with PostgreSQLEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelKey-value storeDocument store
Relational DBMS
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.70
Rank#225  Overall
#31  Key-value stores
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score0.61
Rank#237  Overall
#111  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Websitegithub.com/­boltdb/­boltwww.databricks.comwww.risingwave.com/­databaserocksdb.org
Technical documentationdocs.databricks.comdocs.risingwave.com/­docs/­current/­introgithub.com/­facebook/­rocksdb/­wiki
DeveloperDatabricksRisingWave LabsFacebook, Inc.
Initial release2013201320222013
Current release1.2, September 20239.4.0, June 2024
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache Version 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoRustC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedDocker
Linux
macOS
Linux
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or datenoStandard SQL-types and JSONno
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.noyesnono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnowith Databricks SQLyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
PostgreSQL wire protocol
C++ API
Java API
Supported programming languagesGoPython
R
Scala
Go
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions and aggregatesUDFs in Python or Javano
Triggersnono
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 methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonoyesyes
User concepts infoAccess controlnoUsers and Rolesno
More information provided by the system vendor
BoltDBDatabricksRisingWaveRocksDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BoltDBDatabricksRisingWaveRocksDB
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