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DBMS > Dolt vs. HEAVY.AI vs. Hive vs. Oracle Berkeley DB vs. TimescaleDB

System Properties Comparison Dolt vs. HEAVY.AI vs. Hive vs. Oracle Berkeley DB vs. TimescaleDB

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHive  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwaredata warehouse software for querying and managing large distributed datasets, built on HadoopWidely used in-process key-value storeA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMS
Secondary database modelsDocument storeSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
github.com/­heavyai/­heavydb
www.heavy.ai
hive.apache.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.timescale.com
Technical documentationdocs.dolthub.comdocs.heavy.aicwiki.apache.org/­confluence/­display/­Hive/­Homedocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.timescale.com
DeveloperDoltHub IncHEAVY.AI, Inc.Apache Software Foundation infoinitially developed by FacebookOracle infooriginally developed by Sleepycat, which was acquired by OracleTimescale
Initial release20182016201219942017
Current release5.10, January 20223.1.3, April 202218.1.40, May 20202.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2Open Source infocommercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++ and CUDAJavaC, Java, C++ (depending on the Berkeley DB edition)C
Server operating systemsLinux
macOS
Windows
LinuxAll OS with a Java VMAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonoyes infoonly with the Berkeley DB XML editionyes
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsyes infoSQL interfaced based on SQLite is availableyes infofull PostgreSQL SQL syntax
APIs and other access methodsCLI Client
HTTP REST
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
PHP
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infocurrently in alpha releasenoyes infouser defined functions and integration of map-reducenouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnonoyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinShardingnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Multi-source replicationselectable replication factorSource-replica replicationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupfine grained access rights according to SQL-standardAccess rights for users, groups and rolesnofine grained access rights according to SQL-standard

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More resources
DoltHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HiveOracle Berkeley DBTimescaleDB
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