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DBMS > BigObject vs. Databend vs. EsgynDB vs. GeoMesa

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

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonDatabend  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeoMesa  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Websitebigobject.iogithub.com/­datafuselabs/­databend
www.databend.com
www.esgyn.cnwww.geomesa.org
Technical documentationdocs.bigobject.iodocs.databend.comwww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperBigObject, Inc.Databend LabsEsgynCCRi and others
Initial release2015202120152014
Current release1.0.59, April 20235.0.0, May 2024
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2.0commercialOpen Source infoApache License 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 languageRustC++, JavaScala
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hosted
Linux
macOS
Linux
Data schemeyesyesyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
CLI Client
JDBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresLuanoJava Stored Proceduresno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingdepending on storage layer
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication between multi datacentersdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistencydepending on storage layer
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno
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 layer
User concepts infoAccess controlnoUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storage

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More resources
BigObjectDatabendEsgynDBGeoMesa
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