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DBMS > Badger vs. Datastax Enterprise vs. Microsoft Azure Synapse Analytics vs. NSDb vs. WakandaDB

System Properties Comparison Badger vs. Datastax Enterprise vs. Microsoft Azure Synapse Analytics vs. NSDb vs. WakandaDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.DataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.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 modelKey-value storeWide column storeRelational DBMSTime Series DBMSObject oriented DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score5.93
Rank#56  Overall
#4  Wide column stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.10
Rank#356  Overall
#17  Object oriented DBMS
Websitegithub.com/­dgraph-io/­badgerwww.datastax.com/­products/­datastax-enterpriseazure.microsoft.com/­services/­synapse-analyticsnsdb.iowakanda.github.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.datastax.comdocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecturewakanda.github.io/­doc
DeveloperDGraph LabsDataStaxMicrosoftWakanda SAS
Initial release20172011201620172012
Current release6.8, April 20202.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache Version 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageGoJavaC++Java, ScalaC++, JavaScript
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
hostedLinux
macOS
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyes: 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.nonononono
Secondary indexesnoyesyesall fields are automatically indexed
SQL infoSupport of SQLnoSQL-like DML and DDL statements (CQL); Spark SQLyesSQL-like query languageno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
RESTful HTTP API
Supported programming languagesGoC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
PHP
Java
Scala
JavaScript
Server-side scripts infoStored proceduresnonoTransact SQLnoyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"Sharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono 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 datanono infoAtomicity and isolation are supported for single operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoAccess rights for users can be defined per objectyesyes
More information provided by the system vendor
BadgerDatastax EnterpriseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbWakandaDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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BadgerDatastax EnterpriseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbWakandaDB
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