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DBMS > HBase vs. Microsoft Azure Synapse Analytics vs. NSDb vs. Tigris vs. WakandaDB

System Properties Comparison HBase vs. Microsoft Azure Synapse Analytics vs. NSDb vs. Tigris vs. WakandaDB

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparisonTigris  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableElastic, 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 KubernetesA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructureWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelWide column storeRelational DBMSTime Series DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitehbase.apache.orgazure.microsoft.com/­services/­synapse-analyticsnsdb.iowww.tigrisdata.comwakanda.github.io
Technical documentationhbase.apache.org/­book.htmldocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecturewww.tigrisdata.com/­docswakanda.github.io/­doc
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftTigris Data, Inc.Wakanda SAS
Initial release20082016201720222012
Current release2.3.4, January 20212.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java, ScalaC++, JavaScript
Server operating systemsLinux
Unix
Windows infousing Cygwin
hostedLinux
macOS
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-free, schema definition possibleyesyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyes: 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 indexesnoyesall fields are automatically indexedyes
SQL infoSupport of SQLnoyesSQL-like query languagenono
APIs and other access methodsJava API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
CLI Client
gRPC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C#
Java
PHP
Java
Scala
Go
Java
JavaScript (Node.js)
JavaScript
Server-side scripts infoStored proceduresyes infoCoprocessors in JavaTransact SQLnonoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono 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 dataSingle row ACID (across millions of columns)ACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes, using FoundationDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyesAccess rights for users and rolesyes

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More resources
HBaseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbTigrisWakandaDB
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