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DBMS > Drizzle vs. Heroic vs. Microsoft Azure Synapse Analytics vs. RDFox vs. WakandaDB

System Properties Comparison Drizzle vs. Heroic vs. Microsoft Azure Synapse Analytics vs. RDFox vs. WakandaDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRDFox  Xexclude from comparisonWakandaDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Time 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 ServerHigh performance knowledge graph and semantic reasoning engineWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSTime Series DBMSRelational DBMSGraph DBMS
RDF store
Object oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitegithub.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analyticswww.oxfordsemantic.techwakanda.github.io
Technical documentationspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analyticsdocs.oxfordsemantic.techwakanda.github.io/­doc
DeveloperDrizzle project, originally started by Brian AkerSpotifyMicrosoftOxford Semantic TechnologiesWakanda SAS
Initial release20082014201620172012
Current release7.2.4, September 20126.0, Septermber 20222.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0commercialcommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++C++C++, JavaScript
Server operating systemsFreeBSD
Linux
OS X
hostedLinux
macOS
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyes infoRDF schemasyes
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.nonono
Secondary indexesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoyesnono
APIs and other access methodsJDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP API
SPARQL 1.1
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
C#
Java
PHP
C
Java
JavaScript
Server-side scripts infoStored proceduresnonoTransact SQLyes
Triggersno infohooks for callbacks inside the server can be used.nonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyesreplication via a shared file systemnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integrityyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPyesRoles, resources, and access typesyes

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More resources
DrizzleHeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRDFoxWakandaDB
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