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DBMS > Graph Engine vs. HEAVY.AI vs. Spark SQL vs. SurrealDB vs. YDB

System Properties Comparison Graph Engine vs. HEAVY.AI vs. Spark SQL vs. SurrealDB vs. YDB

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSpark SQL  Xexclude from comparisonSurrealDB  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareSpark SQL is a component on top of 'Spark Core' for structured data processingA fully ACID transactional, developer-friendly, multi-model DBMSA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelGraph DBMS
Key-value store
Relational DBMSRelational DBMSDocument store
Graph DBMS
Document store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitewww.graphengine.iogithub.com/­heavyai/­heavydb
www.heavy.ai
spark.apache.org/­sqlsurrealdb.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationwww.graphengine.io/­docs/­manualdocs.heavy.aispark.apache.org/­docs/­latest/­sql-programming-guide.htmlsurrealdb.com/­docsydb.tech/­en/­docs
DeveloperMicrosoftHEAVY.AI, Inc.Apache Software FoundationSurrealDB LtdYandex
Initial release20102016201420222019
Current release5.10, January 20223.5.0 ( 2.13), September 2023v1.1.1, January 2024
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open SourceOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CC++ and CUDAScalaRust
Server operating systems.NETLinuxLinux
OS X
Windows
Linux
macOS
Windows
Linux
Data schemeyesyesyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono
Secondary indexesnonoyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsSQL-like query languageSQL-like query language (YQL)
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
Vega
JDBC
ODBC
GraphQL
RESTful HTTP API
WebSocket
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC#
C++
F#
Visual Basic
All languages supporting JDBC/ODBC/Thrift
Python
Java
Python
R
Scala
Deno
Go
JavaScript (Node.js)
Rust
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyesnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoRound robinyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes, based on authentication and database rulesAccess rights defined for Yandex Cloud users

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More resources
Graph Engine infoformer name: TrinityHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Spark SQLSurrealDBYDB
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