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DBMS > Heroic vs. Microsoft Azure Synapse Analytics vs. ObjectBox vs. Stardog vs. Tkrzw

System Properties Comparison Heroic vs. Microsoft Azure Synapse Analytics vs. ObjectBox vs. Stardog vs. Tkrzw

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonObjectBox  Xexclude from comparisonStardog  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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 ServerExtremely fast embedded database for small devices, IoT and MobileEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelTime Series DBMSRelational DBMSObject oriented DBMSGraph DBMS
RDF store
Key-value store
Secondary database modelsTime Series 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
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitegithub.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analyticsobjectbox.iowww.stardog.comdbmx.net/­tkrzw
Technical documentationspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analyticsdocs.objectbox.iodocs.stardog.com
DeveloperSpotifyMicrosoftObjectBox LimitedStardog-UnionMikio Hirabayashi
Initial release20142016201720102020
Current release7.3.0, May 20200.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache License 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C and C++JavaC++
Server operating systemshostedAndroid
iOS
Linux
macOS
Windows
Linux
macOS
Windows
Linux
macOS
Data schemeschema-freeyesyesschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 infoImport/export of XML data possibleno
Secondary indexesyes infovia Elasticsearchyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoyesnoYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
Proprietary native APIGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC#
Java
PHP
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoTransact SQLnouser defined functions and aggregates, HTTP Server extensions in Javano
Triggersnononoyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesonline/offline synchronization between client and serverMulti-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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.nonoyesyes infousing specific database classes
User concepts infoAccess controlyesyesAccess rights for users and rolesno
More information provided by the system vendor
HeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseObjectBoxStardogTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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