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DBMS > FatDB vs. Hive vs. QuestDB vs. Rockset vs. VelocityDB

System Properties Comparison FatDB vs. Hive vs. QuestDB vs. Rockset vs. VelocityDB

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonHive  Xexclude from comparisonQuestDB  Xexclude from comparisonRockset  Xexclude from comparisonVelocityDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.data warehouse software for querying and managing large distributed datasets, built on HadoopA high performance open source SQL database for time series dataA scalable, reliable search and analytics service in the cloud, built on RocksDBA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument store
Key-value store
Relational DBMSTime Series DBMSDocument storeGraph DBMS
Object oriented DBMS
Secondary database modelsRelational DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitehive.apache.orgquestdb.iorockset.comvelocitydb.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homequestdb.io/­docsdocs.rockset.comvelocitydb.com/­UserGuide
DeveloperFatCloudApache Software Foundation infoinitially developed by FacebookQuestDB Technology IncRocksetVelocityDB Inc
Initial release20122012201420192011
Current release3.1.3, April 20227.x
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#JavaJava (Zero-GC), C++, RustC++C#
Server operating systemsWindowsAll OS with a Java VMLinux
macOS
Windows
hostedAny that supports .NET
Data schemeschema-freeyesyes infoschema-free via InfluxDB Line Protocolschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesdynamic typingyes
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.nono infoingestion from XML files supportedno
Secondary indexesyesyesnoall fields are automatically indexedyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL-like DML and DDL statementsSQL with time-series extensionsRead-only SQL queries, including JOINsno
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
Thrift
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP REST.Net
Supported programming languagesC#C++
Java
PHP
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Go
Java
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored proceduresyes infovia applicationsyes infouser defined functions and integration of map-reducenonono
Triggersyes infovia applicationsnononoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by timestamps)Automatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factorSource-replica replication with eventual consistencyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID for single-table writesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped filesyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights for users, groups and rolesAccess rights for users and organizations can be defined via Rockset consoleBased on Windows Authentication
More information provided by the system vendor
FatDBHiveQuestDBRocksetVelocityDB
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
FatDBHiveQuestDBRocksetVelocityDB
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