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DBMS > GreptimeDB vs. SpatiaLite vs. Teradata Aster vs. Transwarp Hippo vs. YDB

System Properties Comparison GreptimeDB vs. SpatiaLite vs. Teradata Aster vs. Transwarp Hippo vs. YDB

Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonSpatiaLite  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTranswarp Hippo  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 efficiencySpatial extension of SQLitePlatform for big data analytics on multistructured data sources and typesCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasetsA 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 DBMSSpatial DBMSRelational DBMSVector DBMSDocument store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Score0.05
Rank#386  Overall
#16  Vector DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitegreptime.comwww.gaia-gis.it/­fossil/­libspatialite/­indexwww.transwarp.cn/­en/­subproduct/­hippogithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.greptime.comwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlydb.tech/­en/­docs
DeveloperGreptime Inc.Alessandro FurieriTeradataYandex
Initial release20222008200520232019
Current release5.0.0, August 20201.0, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1commercialcommercialOpen 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 languageRustC++C++
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
server-lessLinuxLinux
macOS
Linux
Data schemeschema-free, schema definition possibleyesFlexible 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 dateyesyesyesVector, Numeric and Stringyes
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 infoin Aster File Storenono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesyesyesnoSQL-like query language (YQL)
APIs and other access methodsgRPC
HTTP API
JDBC
ADO.NET
JDBC
ODBC
OLE DB
RESTful HTTP APIRESTful HTTP API (DynamoDB compatible)
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C
C#
C++
Java
Python
R
C++
Java
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresPythonnoR packagesnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes 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 methodsnonoyes infoSQL Map-Reduce Frameworknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.yesnoyesno
User concepts infoAccess controlSimple rights management via user accountsnofine grained access rights according to SQL-standardRole based access control and fine grained access rightsAccess rights defined for Yandex Cloud users
More information provided by the system vendor
GreptimeDBSpatiaLiteTeradata AsterTranswarp HippoYDB
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
GreptimeDBSpatiaLiteTeradata AsterTranswarp HippoYDB
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