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DBMS > BoltDB vs. GreptimeDB vs. Heroic vs. Hypertable vs. Teradata Aster

System Properties Comparison BoltDB vs. GreptimeDB vs. Heroic vs. Hypertable vs. Teradata Aster

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHeroic  Xexclude from comparisonHypertable  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionAn embedded key-value store for Go.An 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 ElasticSearchAn open source BigTable implementation based on distributed file systems such as HadoopPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeTime Series DBMSTime Series DBMSWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Websitegithub.com/­boltdb/­boltgreptime.comgithub.com/­spotify/­heroic
Technical documentationdocs.greptime.comspotify.github.io/­heroic
DeveloperGreptime Inc.SpotifyHypertable Inc.Teradata
Initial release20132022201420092005
Current release0.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoRustJavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeschema-freeschema-free, schema definition possibleschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or datenoyesyesnoyes
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.nononoyes infoin Aster File Store
Secondary indexesnoyesyes infovia Elasticsearchrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnoyesnonoyes
APIs and other access methodsgRPC
HTTP API
JDBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
C++ API
Thrift
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesGoC++
Erlang
Go
Java
JavaScript
C++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoPythonnonoR packages
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factor on file system levelyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACID
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 controlnoSimple rights management via user accountsnofine grained access rights according to SQL-standard
More information provided by the system vendor
BoltDBGreptimeDBHeroicHypertableTeradata Aster
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BoltDBGreptimeDBHeroicHypertableTeradata Aster
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