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DBMS > Sqrrl vs. Stardog vs. SurrealDB vs. Teradata

System Properties Comparison Sqrrl vs. Stardog vs. SurrealDB vs. Teradata

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Editorial information provided by DB-Engines
NameSqrrl  Xexclude from comparisonStardog  Xexclude from comparisonSurrealDB  Xexclude from comparisonTeradata  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionAdaptable, secure NoSQL built on Apache AccumuloEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA fully ACID transactional, developer-friendly, multi-model DBMSA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMS
RDF store
Document store
Graph DBMS
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.93
Rank#121  Overall
#10  Graph DBMS
#6  RDF stores
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Score41.47
Rank#22  Overall
#15  Relational DBMS
Websitesqrrl.comwww.stardog.comsurrealdb.comwww.teradata.com
Technical documentationdocs.stardog.comsurrealdb.com/­docsdocs.teradata.com
DeveloperAmazon infooriginally Sqrrl Data, Inc.Stardog-UnionSurrealDB LtdTeradata
Initial release2012201020221984
Current release7.3.0, May 2020v1.5.0, May 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Sourcecommercial
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 languageJavaJavaRust
Server operating systemsLinuxLinux
macOS
Windows
Linux
macOS
Windows
hosted
Linux
Data schemeschema-freeschema-free and OWL/RDFS-schema supportschema-freeyes
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.no infoImport/export of XML data possibleyes
Secondary indexesyesyes infosupports real-time indexing in full-text and geospatialyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoYes, compatible with all major SQL variants through dedicated BI/SQL ServerSQL-like query languageyes infoSQL 2016 + extensions
APIs and other access methodsAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
GraphQL
RESTful HTTP API
WebSocket
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesActionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Deno
Go
JavaScript (Node.js)
Rust
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnouser defined functions and aggregates, HTTP Server extensions in Javayes infoUDFs, stored procedures, table functions in parallel
Triggersnoyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomaking use of HadoopnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infomaking use of HadoopMulti-source replication in HA-ClusterMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic updates per row, document, or graph entityACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyes
User concepts infoAccess controlCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Access rights for users and rolesyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
SqrrlStardogSurrealDBTeradata
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