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DBMS > Amazon Neptune vs. Databricks vs. OpenEdge vs. SAP SQL Anywhere vs. YottaDB

System Properties Comparison Amazon Neptune vs. Databricks vs. OpenEdge vs. SAP SQL Anywhere vs. YottaDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDatabricks  Xexclude from comparisonOpenEdge  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Application development environment with integrated database management systemRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA fast and solid embedded Key-value store
Primary database modelGraph DBMS
RDF store
Document store
Relational DBMS
Relational DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websiteaws.amazon.com/­neptunewww.databricks.comwww.progress.com/­openedgewww.sap.com/­products/­technology-platform/­sql-anywhere.htmlyottadb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.databricks.comdocumentation.progress.com/­output/­ua/­OpenEdge_latesthelp.sap.com/­docs/­SAP_SQL_Anywhereyottadb.com/­resources/­documentation
DeveloperAmazonDatabricksProgress Software CorporationSAP infoformerly SybaseYottaDB, LLC
Initial release20172013198419922001
Current releaseOpenEdge 12.2, March 202017, July 2015
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemshostedhostedAIX
HP-UX
Linux
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Docker
Linux
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesyesyesno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnowith Databricks SQLyes infoclose to SQL 92yesby using the Octo plugin
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
HTTP API
JDBC
ODBC
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Python
R
Scala
Progress proprietary ABL (Advanced Business Language)C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyesyes, in C/C++, Java, .Net or Perl
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infosince Version 11.4none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.yesSource-replica replicationSource-replica replication infoDatabase mirroringyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users and groupsfine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms
More information provided by the system vendor
Amazon NeptuneDatabricksOpenEdgeSAP SQL Anywhere infoformerly called Adaptive Server AnywhereYottaDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon NeptuneDatabricksOpenEdgeSAP SQL Anywhere infoformerly called Adaptive Server AnywhereYottaDB
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