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DBMS > Heroic vs. Microsoft Azure Synapse Analytics vs. ObjectBox vs. Sadas Engine vs. TypeDB

System Properties Comparison Heroic vs. Microsoft Azure Synapse Analytics vs. ObjectBox vs. Sadas Engine vs. TypeDB

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonObjectBox  Xexclude from comparisonSadas Engine  Xexclude from comparisonTypeDB infoformerly named Grakn  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 MobileSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelTime Series DBMSRelational DBMSObject oriented DBMSRelational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsTime 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
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websitegithub.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analyticsobjectbox.iowww.sadasengine.comtypedb.com
Technical documentationspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analyticsdocs.objectbox.iowww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationtypedb.com/­docs
DeveloperSpotifyMicrosoftObjectBox LimitedSADAS s.r.l.Vaticle
Initial release20142016201720062016
Current release8.02.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache License 2.0commercial infofree trial version availableOpen Source infoGPL Version 3, commercial licenses available
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 and C++C++Java
Server operating systemshostedAndroid
iOS
Linux
macOS
Windows
AIX
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyesyes
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.nonononono
Secondary indexesyes infovia Elasticsearchyesyesyesyes
SQL infoSupport of SQLnoyesnoyesno
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
Proprietary native APIJDBC
ODBC
Proprietary protocol
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
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
C
C#
C++
Groovy
Java
PHP
Python
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoTransact SQLnonono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningnonehorizontal partitioningSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesonline/offline synchronization between client and servernoneMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesyesno infosubstituted by the relationship feature
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.nonoyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlyesyesAccess rights for users, groups and roles according to SQL-standardyes infoat REST API level; other APIs in progress
More information provided by the system vendor
HeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseObjectBoxSadas EngineTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more
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