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DBMS > BigObject vs. Drizzle vs. Infobright vs. QuestDB

System Properties Comparison BigObject vs. Drizzle vs. Infobright vs. QuestDB

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonDrizzle  Xexclude from comparisonInfobright  Xexclude from comparisonQuestDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for real-time computations and queriesMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendA high performance open source SQL database for time series data
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websitebigobject.ioignitetech.com/­softwarelibrary/­infobrightdbquestdb.io
Technical documentationdocs.bigobject.ioquestdb.io/­docs
DeveloperBigObject, Inc.Drizzle project, originally started by Brian AkerIgnite Technologies Inc.; formerly InfoBright Inc.QuestDB Technology Inc
Initial release2015200820052014
Current release7.2.4, September 2012
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoGNU GPLcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open 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++CJava (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 schemeyesyesyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesno infoKnowledge Grid Technology used insteadno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infowith proprietary extensionsyesSQL with time-series extensions
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBCADO.NET
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC
C++
Java
PHP
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresLuanonono
Triggersnono infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infothrough memory mapped files
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilities
More information provided by the system vendor
BigObjectDrizzleInfobrightQuestDB
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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More resources
BigObjectDrizzleInfobrightQuestDB
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