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DBMS > Databend vs. FatDB vs. GeoSpock vs. Newts vs. Quasardb

System Properties Comparison Databend vs. FatDB vs. GeoSpock vs. Newts vs. Quasardb

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonFatDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA .NET NoSQL DBMS that can integrate with and extend SQL Server.Spatial and temporal data processing engine for extreme data scaleTime Series DBMS based on CassandraDistributed, high-performance timeseries database
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
geospock.comopennms.github.io/­newtsquasar.ai
Technical documentationdocs.databend.comgithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­master
DeveloperDatabend LabsFatCloudGeoSpockOpenNMS Groupquasardb
Initial release2021201220142009
Current release1.0.59, April 20232.0, September 20193.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC#Java, JavascriptJavaC++
Server operating systemshosted
Linux
macOS
WindowshostedLinux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infointeger and binary
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 indexesnoyestemporal, categoricalnoyes infowith tags
SQL infoSupport of SQLyesno infoVia inetgration in SQL ServerANSI SQL for query only (using Presto)noSQL-like query language
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBCHTTP REST
Java API
HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C#Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes infovia applicationsnonono
Triggersnoyes infovia applicationsnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingAutomatic shardingSharding infobased on CassandraSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient mode
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesno infoCan implement custom security layer via applicationsAccess rights for users can be defined per tablenoCryptographically strong user authentication and audit trail

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More resources
DatabendFatDBGeoSpockNewtsQuasardb
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