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DBMS > atoti vs. Microsoft Azure Synapse Analytics vs. NSDb vs. WakandaDB

System Properties Comparison atoti vs. Microsoft Azure Synapse Analytics vs. NSDb vs. WakandaDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Elastic, 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 KubernetesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelObject oriented DBMSRelational DBMSTime Series DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#242  Overall
#10  Object oriented DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score0.09
Rank#352  Overall
#16  Object oriented DBMS
Websiteatoti.ioazure.microsoft.com/­services/­synapse-analyticsnsdb.iowakanda.github.io
Technical documentationdocs.atoti.iodocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecturewakanda.github.io/­doc
DeveloperActiveViamMicrosoftWakanda SAS
Initial release201620172012
Current release2.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache Version 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java, ScalaC++, JavaScript
Server operating systemshostedLinux
macOS
Linux
OS X
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyes
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 indexesyesall fields are automatically indexed
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesSQL-like query languageno
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
RESTful HTTP API
Supported programming languagesC#
Java
PHP
Java
Scala
JavaScript
Server-side scripts infoStored proceduresPythonTransact SQLnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesyes

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More resources
atotiMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbWakandaDB
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