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DBMS > Datastax Enterprise vs. EXASOL vs. QuestDB vs. Snowflake

System Properties Comparison Datastax Enterprise vs. EXASOL vs. QuestDB vs. Snowflake

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonEXASOL  Xexclude from comparisonQuestDB  Xexclude from comparisonSnowflake  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.High-performance, in-memory, MPP database specifically designed for in-memory analytics.A high performance open source SQL database for time series dataCloud-based data warehousing service for structured and semi-structured data
Primary database modelWide column storeRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.80
Rank#60  Overall
#4  Wide column stores
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterprisewww.exasol.comquestdb.iowww.snowflake.com
Technical documentationdocs.datastax.comwww.exasol.com/­resourcesquestdb.io/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperDataStaxExasolQuestDB Technology IncSnowflake Computing Inc.
Initial release2011200020142014
Current release6.8, April 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
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 languageJavaJava (Zero-GC), C++, Rust
Server operating systemsLinux
OS X
Linux
macOS
Windows
hosted
Data schemeschema-freeyesyes infoschema-free via InfluxDB Line Protocolyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononoyes
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyesSQL with time-series extensionsyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
.Net
JDBC
ODBC
WebSocket
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
CLI Client
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Lua
Python
R
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsnouser defined functions
Triggersyesyesnono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardinghorizontal partitioning (by timestamps)yes
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingSource-replica replication with eventual consistencyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoHadoop integrationnono
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infothrough memory mapped filesno
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
Datastax EnterpriseEXASOLQuestDBSnowflake
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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Relational model with native time series support Column-based storage and time partitioned...
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Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Financial tick data Industrial IoT Application Metrics Monitoring
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
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Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
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Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
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Licensing and pricing modelsAnnual subscription
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Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
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