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DBMS > BigObject vs. EsgynDB vs. GeoMesa vs. QuestDB

System Properties Comparison BigObject vs. EsgynDB vs. GeoMesa vs. QuestDB

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A high performance open source SQL database for time series data
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSSpatial 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
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websitebigobject.iowww.esgyn.cnwww.geomesa.orgquestdb.io
Technical documentationdocs.bigobject.iowww.geomesa.org/­documentation/­stable/­user/­index.htmlquestdb.io/­docs
DeveloperBigObject, Inc.EsgynCCRi and othersQuestDB Technology Inc
Initial release2015201520142014
Current release5.0.0, May 2024
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoApache License 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++, JavaScalaJava (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)
LinuxLinux
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.nononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoSQL with time-series extensions
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresLuaJava Stored Proceduresnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingdepending on storage layerhorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication between multi datacentersdepending on storage layerSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistencydepending on storage layerImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID 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.yesnodepending on storage layeryes infothrough memory mapped files
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes infodepending on the DBMS used for storage
More information provided by the system vendor
BigObjectEsgynDBGeoMesaQuestDB
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
BigObjectEsgynDBGeoMesaQuestDB
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