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DBMS > Apache Druid vs. BoltDB vs. Brytlyt vs. GreptimeDB vs. Heroic

System Properties Comparison Apache Druid vs. BoltDB vs. Brytlyt vs. GreptimeDB vs. Heroic

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBoltDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHeroic  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn embedded key-value store for Go.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLAn 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 ElasticSearch
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeRelational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Websitedruid.apache.orggithub.com/­boltdb/­boltbrytlyt.iogreptime.comgithub.com/­spotify/­heroic
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.brytlyt.iodocs.greptime.comspotify.github.io/­heroic
DeveloperApache Software Foundation and contributorsBrytlytGreptime Inc.Spotify
Initial release20122013201620222014
Current release29.0.1, April 20245.0, August 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoMIT LicensecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC, C++ and CUDARustJava
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesnoyesyesyes infovia Elasticsearch
SQL infoSupport of SQLSQL for queryingnoyesyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
HTTP API
JDBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C++
Erlang
Go
Java
JavaScript
Server-side scripts infoStored proceduresnonouser defined functions infoin PL/pgSQLPythonno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno
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.nonono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnofine grained access rights according to SQL-standardSimple rights management via user accounts
More information provided by the system vendor
Apache DruidBoltDBBrytlytGreptimeDBHeroic
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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More resources
Apache DruidBoltDBBrytlytGreptimeDBHeroic
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