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DBMS > GreptimeDB vs. LMDB vs. SpatiaLite vs. Teradata Aster vs. YDB

System Properties Comparison GreptimeDB vs. LMDB vs. SpatiaLite vs. Teradata Aster vs. YDB

Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonLMDB  Xexclude from comparisonSpatiaLite  Xexclude from comparisonTeradata Aster  Xexclude from comparisonYDB  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA high performant, light-weight, embedded key-value database librarySpatial extension of SQLitePlatform for big data analytics on multistructured data sources and typesA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelTime Series DBMSKey-value storeSpatial DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#343  Overall
#31  Time Series DBMS
Score1.94
Rank#120  Overall
#20  Key-value stores
Score1.56
Rank#142  Overall
#3  Spatial DBMS
Score0.39
Rank#269  Overall
#43  Document stores
#126  Relational DBMS
Websitegreptime.comwww.symas.com/­symas-embedded-database-lmdbwww.gaia-gis.it/­fossil/­libspatialite/­indexgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.greptime.comwww.lmdb.tech/­docwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlydb.tech/­en/­docs
DeveloperGreptime Inc.SymasAlessandro FurieriTeradataYandex
Initial release20222011200820052019
Current release0.9.32, January 20245.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1commercialOpen Source infoApache 2.0; commercial license available
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 languageRustCC++
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
Unix
Windows
server-lessLinuxLinux
Data schemeschema-free, schema definition possibleschema-freeyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File StoreFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyes
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 Storeno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesnoyesyesSQL-like query language (YQL)
APIs and other access methodsgRPC
HTTP API
JDBC
ADO.NET
JDBC
ODBC
OLE DB
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC++
Erlang
Go
Java
JavaScript
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C
C#
C++
Java
Python
R
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresPythonnonoR packagesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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.yesyesnono
User concepts infoAccess controlSimple rights management via user accountsnonofine grained access rights according to SQL-standardAccess rights defined for Yandex Cloud users
More information provided by the system vendor
GreptimeDBLMDBSpatiaLiteTeradata AsterYDB
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
GreptimeDBLMDBSpatiaLiteTeradata AsterYDB
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