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DBMS > AlaSQL vs. HEAVY.AI vs. Hive vs. Microsoft Azure Synapse Analytics vs. Riak TS

System Properties Comparison AlaSQL vs. HEAVY.AI vs. Hive vs. Microsoft Azure Synapse Analytics vs. Riak TS

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionJavaScript DBMS libraryA 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 HadoopElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websitealasql.orggithub.com/­heavyai/­heavydb
www.heavy.ai
hive.apache.orgazure.microsoft.com/­services/­synapse-analytics
Technical documentationgithub.com/­AlaSQL/­alasqldocs.heavy.aicwiki.apache.org/­confluence/­display/­Hive/­Homedocs.microsoft.com/­azure/­synapse-analyticswww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperAndrey Gershun & Mathias R. WulffHEAVY.AI, Inc.Apache Software Foundation infoinitially developed by FacebookMicrosoftOpen Source, formerly Basho Technologies
Initial release20142016201220162015
Current release5.10, January 20223.1.3, April 20223.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++ and CUDAJavaC++Erlang
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxAll OS with a Java VMhostedLinux
OS X
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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 indexesnonoyesyesrestricted
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesSQL-like DML and DDL statementsyesyes, limited
APIs and other access methodsJavaScript APIJDBC
ODBC
Thrift
Vega
JDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
HTTP API
Native Erlang Interface
Supported programming languagesJavaScriptAll languages supporting JDBC/ODBC/Thrift
Python
C++
Java
PHP
Python
C#
Java
PHP
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduceTransact SQLErlang
Triggersyesnononoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationselectable replication factoryesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users, groups and rolesyesno

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More resources
AlaSQLHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HiveMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRiak TS
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