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DBMS > Cachelot.io vs. Datastax Enterprise vs. QuestDB vs. RDFox

System Properties Comparison Cachelot.io vs. Datastax Enterprise vs. QuestDB vs. RDFox

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Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonQuestDB  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionIn-memory caching systemDataStax 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.A high performance open source SQL database for time series dataHigh performance knowledge graph and semantic reasoning engine
Primary database modelKey-value storeWide column storeTime Series DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#388  Overall
#62  Key-value stores
Score5.93
Rank#56  Overall
#4  Wide column stores
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitecachelot.iowww.datastax.com/­products/­datastax-enterprisequestdb.iowww.oxfordsemantic.tech
Technical documentationdocs.datastax.comquestdb.io/­docsdocs.oxfordsemantic.tech
DeveloperDataStaxQuestDB Technology IncOxford Semantic Technologies
Initial release2015201120142017
Current release6.8, April 20206.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicensecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
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 languageC++JavaJava (Zero-GC), C++, RustC++
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeschema-freeschema-freeyes infoschema-free via InfluxDB Line Protocolyes infoRDF schemas
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnoyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statements (CQL); Spark SQLSQL with time-series extensionsno
APIs and other access methodsMemcached protocolProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
RESTful HTTP API
SPARQL 1.1
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
Java
Server-side scripts infoStored proceduresnonono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"horizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingSource-replica replication with eventual consistencyreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infothrough memory mapped filesyes
User concepts infoAccess controlnoAccess rights for users can be defined per objectRoles, resources, and access types
More information provided by the system vendor
Cachelot.ioDatastax EnterpriseQuestDBRDFox
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
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
Cachelot.ioDatastax EnterpriseQuestDBRDFox
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