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DBMS > Amazon Neptune vs. CockroachDB vs. OpenEdge vs. Oracle Coherence vs. Spark SQL

System Properties Comparison Amazon Neptune vs. CockroachDB vs. OpenEdge vs. Oracle Coherence vs. Spark SQL

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonCockroachDB  Xexclude from comparisonOpenEdge  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Application development environment with integrated database management systemOracles in-memory data grid solutionSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteaws.amazon.com/­neptunewww.cockroachlabs.comwww.progress.com/­openedgewww.oracle.com/­java/­coherencespark.apache.org/­sql
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.cockroachlabs.com/­docsdocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.oracle.com/­en/­middleware/­standalone/­coherencespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAmazonCockroach LabsProgress Software CorporationOracleApache Software Foundation
Initial release20172015198420072014
Current release24.1.0, May 2024OpenEdge 12.2, March 202014.1, August 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availablecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaScala
Server operating systemshostedLinux
macOS
Windows
AIX
HP-UX
Linux
Solaris
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeschema-freedynamic schemayesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesnono
Secondary indexesnoyesyesnono
SQL infoSupport of SQLnoyes, wire compatible with PostgreSQLyes infoclose to SQL 92noSQL-like DML and DDL statements
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBCJDBC
ODBC
JCache
JPA
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Progress proprietary ABL (Advanced Business Language).Net
C++
Java
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonoyesnono
Triggersnonoyesyes infoLive Eventsno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFThorizontal partitioning infosince Version 11.4Shardingyes, utilizing Spark Core
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.Multi-source replication using RAFTSource-replica replicationyes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDconfigurableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access controlUsers and groupsauthentification to access the cache via certificates or http basic authenticationno

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More resources
Amazon NeptuneCockroachDBOpenEdgeOracle CoherenceSpark SQL
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