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DBMS > BigObject vs. Cachelot.io vs. Prometheus vs. QuestDB

System Properties Comparison BigObject vs. Cachelot.io vs. Prometheus vs. QuestDB

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonCachelot.io  Xexclude from comparisonPrometheus  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesIn-memory caching systemOpen-source Time Series DBMS and monitoring systemA high performance open source SQL database for time series data
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitebigobject.iocachelot.ioprometheus.ioquestdb.io
Technical documentationdocs.bigobject.ioprometheus.io/­docsquestdb.io/­docs
DeveloperBigObject, Inc.QuestDB Technology Inc
Initial release2015201520152014
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoSimplified BSD LicenseOpen Source infoApache 2.0Open Source infoApache 2.0
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++GoJava (Zero-GC), C++, Rust
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
FreeBSD
Linux
OS X
Linux
Windows
Linux
macOS
Windows
Data schemeyesschema-freeyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesnoNumeric data onlyyes
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 infoImport of XML data possibleno
Secondary indexesyesnonono
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoSQL with time-series extensions
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Memcached protocolRESTful HTTP/JSON APIHTTP 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
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresLuanonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes infoby FederationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenonenoneImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infothrough memory mapped files
User concepts infoAccess controlnonono
More information provided by the system vendor
BigObjectCachelot.ioPrometheusQuestDB
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
BigObjectCachelot.ioPrometheusQuestDB
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