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DBMS > Amazon Neptune vs. CockroachDB vs. Datomic vs. Hazelcast

System Properties Comparison Amazon Neptune vs. CockroachDB vs. Datomic vs. Hazelcast

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonCockroachDB  Xexclude from comparisonDatomic  Xexclude from comparisonHazelcast  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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA widely adopted in-memory data grid
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Websiteaws.amazon.com/­neptunewww.cockroachlabs.comwww.datomic.comhazelcast.com
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.cockroachlabs.com/­docsdocs.datomic.comhazelcast.org/­imdg/­docs
DeveloperAmazonCockroach LabsCognitectHazelcast
Initial release2017201520122008
Current release23.1.1, May 20231.0.6735, June 20235.3.6, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availablecommercial infolimited edition freeOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, ClojureJava
Server operating systemshostedLinux
macOS
Windows
All OS with a Java VMAll OS with a Java VM
Data schemeschema-freedynamic schemayesschema-free
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.nononoyes infothe object must implement a serialization strategy
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes, wire compatible with PostgreSQLnoSQL-like query language
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBCRESTful HTTP APIJCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Clojure
Java
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnonoyes infoTransaction Functionsyes infoEvent Listeners, Executor Services
TriggersnonoBy using transaction functionsyes infoEvents
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 RAFTnone infoBut extensive use of caching in the application peersSharding
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 RAFTnone infoBut extensive use of caching in the application peersyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access controlnoRole-based access control

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More resources
Amazon NeptuneCockroachDBDatomicHazelcast
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