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DBMS > Datastax Enterprise vs. Microsoft Azure Synapse Analytics vs. QuestDB

System Properties Comparison Datastax Enterprise vs. Microsoft Azure Synapse Analytics vs. QuestDB

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionDataStax 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 ServerA high performance open source SQL database for time series data
Primary database modelWide column storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.79
Rank#47  Overall
#4  Wide column stores
Score10.35
Rank#42  Overall
#27  Relational DBMS
Score0.40
Rank#247  Overall
#17  Time Series DBMS
Websitewww.datastax.com/­products/­datastax-enterpriseazure.microsoft.com/­services/­synapse-analyticsquestdb.io
Technical documentationdocs.datastax.comdocs.microsoft.com/­azure/­synapse-analyticsquestdb.io/­docs/­introduction
DeveloperDataStaxMicrosoftQuestDB Limited
Initial release201120162014
Current release6.8, April 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java
Server operating systemsLinux
OS X
hostedLinux
macOS
Windows
Data schemeschema-freeyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyesSQL-like query language
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
PHP
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnoTransact SQLno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding, horizontal partitioninghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingyesConfigurable consistency for N replicas
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate 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 datano infoAtomicity and isolation are supported for single operationsACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users can be defined per objectyes
More information provided by the system vendor
Datastax EnterpriseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQuestDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Relational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Real-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Application metrics Financial market data and algo trading DevOps monitoring Real-time...
» 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
Apache 2.0.
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Datastax EnterpriseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQuestDB
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