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DBMS > Cachelot.io vs. Hypertable vs. QuestDB vs. ToroDB

System Properties Comparison Cachelot.io vs. Hypertable vs. QuestDB vs. ToroDB

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Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonHypertable  Xexclude from comparisonQuestDB  Xexclude from comparisonToroDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionIn-memory caching systemAn open source BigTable implementation based on distributed file systems such as HadoopA high performance open source SQL database for time series dataA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelKey-value storeWide column storeTime Series DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#60  Key-value stores
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitecachelot.ioquestdb.iogithub.com/­torodb/­server
Technical documentationquestdb.io/­docs
DeveloperHypertable Inc.QuestDB Technology Inc8Kdata
Initial release2015200920142016
Current release0.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0Open Source infoAGPL-V3
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++C++Java (Zero-GC), C++, RustJava
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Windows
All OS with a Java 7 VM
Data schemeschema-freeschema-freeyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or datenonoyesyes infostring, integer, double, boolean, date, object_id
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 indexesnorestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLnonoSQL with time-series extensions
APIs and other access methodsMemcached protocolC++ API
Thrift
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor on file system levelSource-replica replication with eventual consistencySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes infothrough memory mapped files
User concepts infoAccess controlnonoAccess rights for users and roles
More information provided by the system vendor
Cachelot.ioHypertableQuestDBToroDB
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
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