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DBMS > CrateDB vs. Microsoft Azure Synapse Analytics vs. Qdrant vs. RDFox vs. SingleStore

System Properties Comparison CrateDB vs. Microsoft Azure Synapse Analytics vs. Qdrant vs. RDFox vs. SingleStore

Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonQdrant  Xexclude from comparisonRDFox  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionDistributed Database based on LuceneElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA high-performance vector database with neural network or semantic-based matchingHigh performance knowledge graph and semantic reasoning engineMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSVector DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsRelational DBMSRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score5.60
Rank#62  Overall
#35  Relational DBMS
Websitecratedb.comazure.microsoft.com/­services/­synapse-analyticsgithub.com/­qdrant/­qdrant
qdrant.tech
www.oxfordsemantic.techwww.singlestore.com
Technical documentationcratedb.com/­docsdocs.microsoft.com/­azure/­synapse-analyticsqdrant.tech/­documentationdocs.oxfordsemantic.techdocs.singlestore.com
DeveloperCrateMicrosoftQdrantOxford Semantic TechnologiesSingleStore Inc.
Initial release20132016202120172013
Current release6.0, Septermber 20228.5, January 2024
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache Version 2.0commercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaC++RustC++C++, Go
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supporthostedDocker
Linux
macOS
Windows
Linux
macOS
Windows
Linux info64 bit version required
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Booleanyesyes
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.nononono
Secondary indexesyesyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityyesnonoyes infobut no triggers and foreign keys
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET
JDBC
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
RESTful HTTP API
SPARQL 1.1
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
C#
Java
PHP
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C
Java
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions (Javascript)Transact SQLyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelyesCollection-level replicationreplication via a shared file systemSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyEventual Consistency, tunable consistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate 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 infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlrights management via user accountsyesKey-based authenticationRoles, resources, and access typesFine grained access control via users, groups and roles
More information provided by the system vendor
CrateDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQdrantRDFoxSingleStore infoformer name was MemSQL
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Customers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more
F ree Tier and Enterprise Edition
» more

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More resources
CrateDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQdrantRDFoxSingleStore infoformer name was MemSQL
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