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DBMS > HEAVY.AI vs. Oracle Berkeley DB vs. PlanetScale vs. RisingWave

System Properties Comparison HEAVY.AI vs. Oracle Berkeley DB vs. PlanetScale vs. RisingWave

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPlanetScale  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareWidely used in-process key-value storeScalable, distributed, serverless MySQL database platform built on top of VitessA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.oracle.com/­database/­technologies/­related/­berkeleydb.htmlplanetscale.comwww.risingwave.com/­database
Technical documentationdocs.heavy.aidocs.oracle.com/­cd/­E17076_05/­html/­index.htmlplanetscale.com/­docsdocs.risingwave.com/­docs/­current/­intro
DeveloperHEAVY.AI, Inc.Oracle infooriginally developed by Sleepycat, which was acquired by OraclePlanetScaleRisingWave Labs
Initial release2016199420202022
Current release5.10, January 202218.1.40, May 20201.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infocommercial license availablecommercialOpen Source infoApache Version 2.0
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 languageC++ and CUDAC, Java, C++ (depending on the Berkeley DB edition)GoRust
Server operating systemsLinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Docker
Linux
macOS
Docker
Linux
macOS
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesStandard SQL-types and JSON
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesyes infoSQL interfaced based on SQLite is availableyes infowith proprietary extensionsyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
MySQL protocol
ODBC
JDBC
PostgreSQL wire protocol
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyes infoproprietary syntaxUDFs in Python or Java
Triggersnoyes infoonly for the SQL APIyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engine
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.yesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers with fine-grained authorization concept infono user groups or rolesUsers and Roles

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Oracle Berkeley DBPlanetScaleRisingWave
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