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DBMS > Datomic vs. HugeGraph vs. LevelDB vs. Sadas Engine vs. Stardog

System Properties Comparison Datomic vs. HugeGraph vs. LevelDB vs. Sadas Engine vs. Stardog

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHugeGraph  Xexclude from comparisonLevelDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA fast-speed and highly-scalable Graph DBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSGraph DBMSKey-value storeRelational DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.datomic.comgithub.com/­hugegraph
hugegraph.apache.org
github.com/­google/­leveldbwww.sadasengine.comwww.stardog.com
Technical documentationdocs.datomic.comhugegraph.apache.org/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.stardog.com
DeveloperCognitectBaiduGoogleSADAS s.r.l.Stardog-Union
Initial release20122018201120062010
Current release1.0.6735, June 20230.91.23, February 20218.07.3.0, May 2020
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2.0Open Source infoBSDcommercial infofree trial version availablecommercial 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 servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC++C++Java
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
Illumos
Linux
OS X
Windows
AIX
Linux
Windows
Linux
macOS
Windows
Data schemeyesyesschema-freeyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 infoImport/export of XML data possible
Secondary indexesyesyes infoalso supports composite index and range indexnoyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnononoyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
Proprietary protocol
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 languagesClojure
Java
Groovy
Java
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C#
C++
Groovy
Java
PHP
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsasynchronous Gremlin script jobsnonouser defined functions and aggregates, HTTP Server extensions in Java
TriggersBy using transaction functionsnononoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersyes infodepending on used storage backend, e.g. Cassandra and HBasenonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes infodepending on used storage backend, e.g. Cassandra and HBasenonenoneMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes infoedges in graphnoyesyes inforelationships in graphs
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 persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlnoUsers, roles and permissionsnoAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles

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More resources
DatomicHugeGraphLevelDBSadas EngineStardog
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