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DBMS > HEAVY.AI vs. Splice Machine vs. YDB

System Properties Comparison HEAVY.AI vs. Splice Machine vs. YDB

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSplice Machine  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score0.54
Rank#255  Overall
#116  Relational DBMS
Score0.34
Rank#285  Overall
#43  Document stores
#130  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
splicemachine.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.heavy.aisplicemachine.com/­how-it-worksydb.tech/­en/­docs
DeveloperHEAVY.AI, Inc.Splice MachineYandex
Initial release201620142019
Current release5.10, January 20223.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAJava
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLyesyesSQL-like query language (YQL)
APIs and other access methodsJDBC
ODBC
Thrift
Vega
JDBC
Native Spark Datasource
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoyes infoJavano
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardAccess rights defined for Yandex Cloud users

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Splice MachineYDB
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