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DBMS > Cachelot.io vs. Graph Engine vs. QuestDB vs. SQream DB

System Properties Comparison Cachelot.io vs. Graph Engine vs. QuestDB vs. SQream DB

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Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonQuestDB  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionIn-memory caching systemA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA high performance open source SQL database for time series dataa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelKey-value storeGraph DBMS
Key-value store
Time Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#388  Overall
#62  Key-value stores
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitecachelot.iowww.graphengine.ioquestdb.iosqream.com
Technical documentationwww.graphengine.io/­docs/­manualquestdb.io/­docsdocs.sqream.com
DeveloperMicrosoftQuestDB Technology IncSQream Technologies
Initial release2015201020142017
Current release2022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoMIT LicenseOpen 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.
Implementation languageC++.NET and CJava (Zero-GC), C++, RustC++, CUDA, Haskell, Java, Scala
Server operating systemsFreeBSD
Linux
OS X
.NETLinux
macOS
Windows
Linux
Data schemeschema-freeyesyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or datenoyesyesyes, ANSI Standard SQL Types
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 indexesnonono
SQL infoSupport of SQLnonoSQL with time-series extensionsyes
APIs and other access methodsMemcached protocolRESTful HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
.Net
JDBC
ODBC
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C#
C++
F#
Visual Basic
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesnouser defined functions in Python
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioninghorizontal partitioning (by timestamps)horizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentnooptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infothrough memory mapped files
User concepts infoAccess controlno
More information provided by the system vendor
Cachelot.ioGraph Engine infoformer name: TrinityQuestDBSQream DB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» 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
Cachelot.ioGraph Engine infoformer name: TrinityQuestDBSQream DB
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