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DBMS > BigObject vs. Snowflake vs. SQLite vs. Stardog

System Properties Comparison BigObject vs. Snowflake vs. SQLite vs. Stardog

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonSnowflake  Xexclude from comparisonSQLite  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesCloud-based data warehousing service for structured and semi-structured dataWidely used embeddable, in-process RDBMSEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitebigobject.iowww.snowflake.comwww.sqlite.orgwww.stardog.com
Technical documentationdocs.bigobject.iodocs.snowflake.net/­manuals/­index.htmlwww.sqlite.org/­docs.htmldocs.stardog.com
DeveloperBigObject, Inc.Snowflake Computing Inc.Dwayne Richard HippStardog-Union
Initial release2015201420002010
Current release3.46.0  (23 May 2024), May 20247.3.0, May 2020
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoPublic Domaincommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedserver-lessLinux
macOS
Windows
Data schemeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes infodynamic column typesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyes 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.noyesnono infoImport/export of XML data possible
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infoSQL-92 is not fully supportedYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
CLI Client
JDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesJavaScript (Node.js)
Python
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
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresLuauser defined functionsnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersnono infosimilar concept for controling cloud resourcesyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnoneyesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnoneMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes infovia file-system locksyes
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.yesnoyesyes
User concepts infoAccess controlnoUsers with fine-grained authorization concept, user roles and pluggable authenticationnoAccess rights for users and roles

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More resources
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