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DBMS > BigObject vs. Microsoft Azure Synapse Analytics vs. NSDb vs. TypeDB vs. WakandaDB

System Properties Comparison BigObject vs. Microsoft Azure Synapse Analytics vs. NSDb vs. TypeDB vs. WakandaDB

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query languageWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSTime Series 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.
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitebigobject.ioazure.microsoft.com/­services/­synapse-analyticsnsdb.iotypedb.comwakanda.github.io
Technical documentationdocs.bigobject.iodocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecturetypedb.com/­docswakanda.github.io/­doc
DeveloperBigObject, Inc.MicrosoftVaticleWakanda SAS
Initial release20152016201720162012
Current release2.26.3, January 20242.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoApache Version 2.0Open Source infoGPL Version 3, commercial licenses availableOpen Source infoAGPLv3, extended commercial license 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 languageC++Java, ScalaJavaC++, JavaScript
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedLinux
macOS
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyesyes
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 indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query languagenono
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
RESTful HTTP API
Supported programming languagesC#
Java
PHP
Java
Scala
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
JavaScript
Server-side scripts infoStored proceduresLuaTransact SQLnonoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningShardingSharding infoby using Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication infoby using Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnoyesyes infoat REST API level; other APIs in progressyes
More information provided by the system vendor
BigObjectMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbTypeDB infoformerly named GraknWakandaDB
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
BigObjectMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbTypeDB infoformerly named GraknWakandaDB
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