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DBMS > Amazon DocumentDB vs. GraphDB vs. SAP HANA vs. YugabyteDB

System Properties Comparison Amazon DocumentDB vs. GraphDB vs. SAP HANA vs. YugabyteDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonSAP HANA  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportIn-memory, column based data store. Available as appliance or cloud serviceHigh-performance distributed SQL database for global, internet-scale applications. Wire compatible with PostgreSQL.
Primary database modelDocument storeGraph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Document store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.89
Rank#172  Overall
#27  Document stores
Score1.32
Rank#144  Overall
#10  Graph DBMS
#5  RDF stores
Score51.34
Rank#20  Overall
#13  Relational DBMS
Score1.04
Rank#159  Overall
#77  Relational DBMS
Websiteaws.amazon.com/­documentdbgraphdb.ontotext.comwww.sap.com/­products/­hana.htmlwww.yugabyte.com
Technical documentationaws.amazon.com/­documentdb/­resourcesgraphdb.ontotext.com/­documentationhelp.sap.com/­hanadocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperOntotextSAPYugabyte Inc.
Initial release2019200020102017
Current release8.8, January 20192.0 SPS04, April 20192.1.8.2, June 2020
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesno infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.no infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++
Server operating systemshostedAll OS with a Java VM
Linux
OS X
Windows
Appliance or cloud-serviceLinux
OS X
Data schemeschema-freeschema-free and OWL/RDFS-schema supportyesdepending on used data model
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.nononono
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes
SQL infoSupport of SQLnoSPARQL is used as query languageyesyes, PostgreSQL compatible
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnoJava Server PluginSQLScript, Ryes infosql, plpgsql, C
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneyesHash and Range Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMaster-master replicationyesBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoConstraint checkingyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolesyesyesyes
More information provided by the system vendor
Amazon DocumentDBGraphDB infoformer name: OWLIMSAP HANAYugabyteDB
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Gain Developer Agility Leverage full power of PostgreSQL-compatible SQL and distributed...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
YugabyteDB is a distributed ACID-compliant database that brings together four must-have...
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
YugabyteDB is a good fit for fast-growing, cloud native applications that need to...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
YugabyteDB is a 100% open source project licensed under the permissive Apache 2.0...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon DocumentDBGraphDB infoformer name: OWLIMSAP HANAYugabyteDB
Conferences and events

GraphDB Fundamentals: Adding Meaning to Your Data
Webinar, 4pm GMT, 8am PST, 5pm CET, 25 March 2020 (finished)

GraphDB 9.2 Supports RDF* to Match the Expressivity of Property Graphs
Webinar, 5 pm CEST / 12 pm EDT / 6 pm EEST, 14 May 2020 (finished)

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