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DBMS > BoltDB vs. Databricks vs. HBase vs. SurrealDB

System Properties Comparison BoltDB vs. Databricks vs. HBase vs. SurrealDB

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDatabricks  Xexclude from comparisonHBase  Xexclude from comparisonSurrealDB  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.Wide-column store based on Apache Hadoop and on concepts of BigTableA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelKey-value storeDocument store
Relational DBMS
Wide column storeDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitegithub.com/­boltdb/­boltwww.databricks.comhbase.apache.orgsurrealdb.com
Technical documentationdocs.databricks.comhbase.apache.org/­book.htmlsurrealdb.com/­docs
DeveloperDatabricksApache Software Foundation infoApache top-level project, originally developed by PowersetSurrealDB Ltd
Initial release2013201320082022
Current release2.3.4, January 2021v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache version 2Open Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaRust
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
Unix
Windows infousing Cygwin
Linux
macOS
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROyes
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 indexesnoyesno
SQL infoSupport of SQLnowith Databricks SQLnoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesGoPython
R
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyes infoCoprocessors in Java
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDSingle row ACID (across millions of columns)ACID
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.nonoyes
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyes, based on authentication and database rules
More information provided by the system vendor
BoltDBDatabricksHBaseSurrealDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
BoltDBDatabricksHBaseSurrealDB
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