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DBMS > ITTIA vs. Microsoft Azure Table Storage vs. Sadas Engine vs. TypeDB

System Properties Comparison ITTIA vs. Microsoft Azure Table Storage vs. Sadas Engine vs. TypeDB

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Editorial information provided by DB-Engines
NameITTIA  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSadas Engine  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionEdge Time Series DBMS with Real-Time Stream ProcessingA Wide Column Store for rapid development using massive semi-structured datasetsSADAS 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 DBMSWide column storeRelational 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 modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#273  Overall
#24  Time Series DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websitewww.ittia.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.sadasengine.comtypedb.com
Technical documentationwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationtypedb.com/­docs
DeveloperITTIA L.L.C.MicrosoftSADAS s.r.l.Vaticle
Initial release2007201220062016
Current release8.78.02.26.3, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree trial version availableOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++Java
Server operating systemsLinux
Windows
hostedAIX
Linux
Windows
Linux
OS X
Windows
Data schemeFixed schemaschema-freeyesyes
Typing infopredefined data types such as float or dateFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyesyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLyesnoyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
WebSocket
RESTful HTTP APIJDBC
ODBC
Proprietary protocol
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC
C++
JavaScript (Node.js)
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioningSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlDatabase file passwordsAccess rights based on private key authentication or shared access signaturesAccess 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
ITTIAMicrosoft Azure Table StorageSadas 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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More resources
ITTIAMicrosoft Azure Table StorageSadas EngineTypeDB infoformerly named Grakn
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