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DBMS > Heroic vs. Microsoft Azure Synapse Analytics vs. Netezza vs. searchxml vs. Warp 10

System Properties Comparison Heroic vs. Microsoft Azure Synapse Analytics vs. Netezza vs. searchxml vs. Warp 10

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonsearchxml  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerData warehouse and analytics appliance part of IBM PureSystemsDBMS for structured and unstructured content wrapped with an application serverTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelTime Series DBMSRelational DBMSRelational DBMSNative XML DBMS
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitegithub.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analyticswww.ibm.com/­products/­netezzawww.searchxml.net/­category/­productswww.warp10.io
Technical documentationspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analyticswww.searchxml.net/­support/­handoutswww.warp10.io/­content/­02_Getting_started
DeveloperSpotifyMicrosoftIBMinformationpartners gmbhSenX
Initial release20142016200020152015
Current release1.0
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++Java
Server operating systemshostedLinux infoincluded in applianceWindowsLinux
OS X
Windows
Data schemeschema-freeyesyesschema-freeschema-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.nonoyesno
Secondary indexesyes infovia Elasticsearchyesyesyesno
SQL infoSupport of SQLnoyesyesnono
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
RESTful HTTP API
WebDAV
XQuery
XSLT
HTTP API
Jupyter
WebSocket
Supported programming languagesC#
Java
PHP
C
C++
Fortran
Java
Lua
Perl
Python
R
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnoTransact SQLyesyes infoon the application serveryes infoWarpScript
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replicationyes infosychronisation to multiple collectionsselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDmultiple readers, single writerno
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.nonoyes
User concepts infoAccess controlyesUsers with fine-grained authorization conceptDomain, group and role-based access control at the document level and for application servicesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
HeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNetezza infoAlso called PureData System for Analytics by IBMsearchxmlWarp 10
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