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DBMS > Alibaba Cloud AnalyticDB for MySQL vs. AnzoGraph DB vs. Brytlyt vs. Dolt vs. HEAVY.AI

System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. AnzoGraph DB vs. Brytlyt vs. Dolt vs. HEAVY.AI

Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonBrytlyt  Xexclude from comparisonDolt  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
DescriptionA real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol.Scalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA 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 hardware
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.92
Rank#195  Overall
#91  Relational DBMS
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score0.27
Rank#292  Overall
#132  Relational DBMS
Score0.93
Rank#194  Overall
#90  Relational DBMS
Score1.41
Rank#153  Overall
#71  Relational DBMS
Websitewww.alibabacloud.com/­product/­analyticdb-for-mysqlcambridgesemantics.com/­anzographbrytlyt.iogithub.com/­dolthub/­dolt
www.dolthub.com
github.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.brytlyt.iodocs.dolthub.comdocs.heavy.ai
DeveloperAlibabaCambridge SemanticsBrytlytDoltHub IncHEAVY.AI, Inc.
Initial release2018201620182016
Current release2.3, January 20215.0, August 20235.10, January 2022
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAGoC++ and CUDA
Server operating systemshostedLinuxLinux
OS X
Windows
Linux
macOS
Windows
Linux
Data schemeyesSchema-free and OWL/RDFS-schema supportyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnoyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLyesSPARQL and SPARQL* as primary query language. Cypher preview.yesyesyes
APIs and other access methodsJDBC
ODBC
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
CLI Client
HTTP REST
JDBC
ODBC
Thrift
Vega
Supported programming languagesC#
Java
PHP
Python
C++
Java
Python
.Net
C
C++
Delphi
Java
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
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesuser defined functions infoin PL/pgSQLyes infocurrently in alpha releaseno
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceAutomatic shardingnoneSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication in MPP-ClusterSource-replica replicationA 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 replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infonot needed in graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesfine grained access rights according to SQL-standardOnly one user is configurable, and must be specified in the config file at startupfine grained access rights according to SQL-standard
More information provided by the system vendor
Alibaba Cloud AnalyticDB for MySQLAnzoGraph DBBrytlytDoltHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
» more
Competitive advantagesTPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
» more
Licensing and pricing modelsAvailable regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
» more

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Alibaba Cloud AnalyticDB for MySQLAnzoGraph DBBrytlytDoltHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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