DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > GeoMesa vs. ObjectBox vs. Teradata vs. Vitess

System Properties Comparison GeoMesa vs. ObjectBox vs. Teradata vs. Vitess

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonObjectBox  Xexclude from comparisonTeradata  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Extremely fast embedded database for small devices, IoT and MobileA hybrid cloud data analytics software platform (Teradata Vantage)Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelSpatial DBMSObject oriented DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.geomesa.orgobjectbox.iowww.teradata.comvitess.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.objectbox.iodocs.teradata.comvitess.io/­docs
DeveloperCCRi and othersObjectBox LimitedTeradataThe Linux Foundation, PlanetScale
Initial release2014201719842013
Current release5.0.0, May 2024Teradata Vantage 1.0 MU2, January 201915.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache License 2.0commercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC and C++Go
Server operating systemsAndroid
iOS
Linux
macOS
Windows
hosted
Linux
Docker
Linux
macOS
Data schemeyesyesyesyes
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.nonoyes
Secondary indexesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLnonoyes infoSQL 2016 + extensionsyes infowith proprietary extensions
APIs and other access methodsProprietary native API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoyes infoUDFs, stored procedures, table functions in parallelyes infoproprietary syntax
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layernoneSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeronline/offline synchronization between client and serverMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layernoyesyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageyesfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
GeoMesaObjectBoxTeradataVitess
News

The on-device Vector Database for Android and Java
29 May 2024

Vector search: making sense of search queries
29 May 2024

Python on-device Vector and Object Database for Local AI
28 May 2024

Evolution of search: traditional vs vector search
23 May 2024

On-device Vector Database for Dart/Flutter
21 May 2024

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
GeoMesaObjectBoxTeradataVitess
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

Teradata is the most popular data warehouse DBMS
2 April 2013, Paul Andlinger

show all

Recent citations in the news

Teradata Stock Analysis: Don't Let the Amazon News Fool You Into Buying Now
10 June 2024, InvestorPlace

Teradata to Present at Upcoming Investor Conference
6 June 2024, Business Wire

Critical Analysis: Teradata (NYSE:TDC) & NCC Group (OTCMKTS:NCCGF)
9 June 2024, Defense World

Teradata (TDC) Down 2.5% Since Last Earnings Report: Can It Rebound?
5 June 2024, Yahoo Finance

Lakehouse dam breaks after departure of long-time Teradata CTO
1 May 2024, The Register

provided by Google News

PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes
18 May 2021, The Register

They scaled YouTube -- now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

With Vitess 4.0, database vendor matures cloud-native platform
13 November 2019, TechTarget

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here