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DBMS > GeoMesa vs. Google BigQuery vs. Quasardb vs. SQLite vs. TimesTen

System Properties Comparison GeoMesa vs. Google BigQuery vs. Quasardb vs. SQLite vs. TimesTen

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonQuasardb  Xexclude from comparisonSQLite  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Large scale data warehouse service with append-only tablesDistributed, high-performance timeseries databaseWidely used embeddable, in-process RDBMSIn-Memory RDBMS compatible to Oracle
Primary database modelSpatial DBMSRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitewww.geomesa.orgcloud.google.com/­bigqueryquasar.aiwww.sqlite.orgwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­bigquery/­docsdoc.quasar.ai/­masterwww.sqlite.org/­docs.htmldocs.oracle.com/­database/­timesten-18.1
DeveloperCCRi and othersGooglequasardbDwayne Richard HippOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20142010200920001998
Current release5.0.0, May 20243.14.1, January 20243.46.0  (23 May 2024), May 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoPublic Domaincommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++C
Server operating systemshostedBSD
Linux
OS X
Windows
server-lessAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesschema-freeyes infodynamic column typesyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes infonot rigid because of 'dynamic typing' concept.yes
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.nonononono
Secondary indexesyesnoyes infowith tagsyesyes
SQL infoSupport of SQLnoyesSQL-like query languageyes infoSQL-92 is not fully supportedyes
APIs and other access methodsRESTful HTTP/JSON APIHTTP APIADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptnonoPL/SQL
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layernoneSharding infoconsistent hashingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerSource-replica replication with selectable replication factornoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locksyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layernoyes infoTransient modeyesyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Cryptographically strong user authentication and audit trailnofine grained access rights according to SQL-standard

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