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DBMS > Alibaba Cloud MaxCompute vs. Amazon Neptune vs. CockroachDB vs. Datomic vs. EJDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Amazon Neptune vs. CockroachDB vs. Datomic vs. EJDB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonCockroachDB  Xexclude from comparisonDatomic  Xexclude from comparisonEJDB  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingFast, 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 durabilityEmbeddable document-store database library with JSON representation of queries (in MongoDB style)
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesGraph DBMS
RDF store
Relational DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Websitewww.alibabacloud.com/­product/­maxcomputeaws.amazon.com/­neptunewww.cockroachlabs.comwww.datomic.comgithub.com/­Softmotions/­ejdb
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputeaws.amazon.com/­neptune/­developer-resourceswww.cockroachlabs.com/­docsdocs.datomic.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.md
DeveloperAlibabaAmazonCockroach LabsCognitectSoftmotions
Initial release20162017201520122012
Current release24.1.0, May 20241.0.7075, December 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0, commercial license availablecommercial infolimited edition freeOpen Source infoGPLv2
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, ClojureC
Server operating systemshostedhostedLinux
macOS
Windows
All OS with a Java VMserver-less
Data schemeyesschema-freedynamic schemayesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infostring, integer, double, bool, date, object_id
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 indexesnonoyesyesno
SQL infoSupport of SQLSQL-like query languagenoyes, wire compatible with PostgreSQLnono
APIs and other access methodsFluentd
Flume
MaxCompute Console
OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBCRESTful HTTP APIin-process shared library
Supported programming languagesJavaC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Clojure
Java
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Javanonoyes infoTransaction Functionsno
TriggersnononoBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenonehorizontal 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 peersnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-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 peersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesnono infotypically not needed, however similar functionality with collection joins possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoRead/Write Locking
Durability infoSupport for making data persistentyesyes 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.nonoyes inforecommended only for testing and development
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access controlnono

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Alibaba Cloud MaxComputeAmazon NeptuneCockroachDBDatomicEJDB
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