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DBMS > Apache Drill vs. EsgynDB vs. GreptimeDB vs. Heroic vs. Kdb

System Properties Comparison Apache Drill vs. EsgynDB vs. GreptimeDB vs. Heroic vs. Kdb

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonEsgynDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHeroic  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchHigh performance Time Series DBMS
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSTime Series DBMSTime Series DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Websitedrill.apache.orgwww.esgyn.cngreptime.comgithub.com/­spotify/­heroickx.com
Technical documentationdrill.apache.org/­docsdocs.greptime.comspotify.github.io/­heroiccode.kx.com
DeveloperApache Software FoundationEsgynGreptime Inc.SpotifyKx Systems, a division of First Derivatives plc
Initial release20122015202220142000 infokdb was released 2000, kdb+ in 2003
Current release1.20.3, January 20233.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaRustJavaq
Server operating systemsLinux
OS X
Windows
LinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononoyes
Secondary indexesnoyesyesyes infovia Elasticsearchyes infotable attribute 'grouped'
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyesyesnoSQL-like query language (q)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
gRPC
HTTP API
JDBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesC++All languages supporting JDBC/ODBC/ADO.NetC++
Erlang
Go
Java
JavaScript
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsJava Stored ProceduresPythonnouser defined functions
Triggersnononoyes infowith views
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenonoyes
User concepts infoAccess controlDepending on the underlying data sourcefine grained access rights according to SQL-standardSimple rights management via user accountsrights management via user accounts
More information provided by the system vendor
Apache DrillEsgynDBGreptimeDBHeroicKdb
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Integrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
provides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
tick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
kdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
upon request
» more

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More resources
Apache DrillEsgynDBGreptimeDBHeroicKdb
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