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DBMS > Amazon CloudSearch vs. Amazon Neptune vs. Apache Impala vs. Datomic

System Properties Comparison Amazon CloudSearch vs. Amazon Neptune vs. Apache Impala vs. Datomic

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonApache Impala  Xexclude from comparisonDatomic  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudFast, reliable graph database built for the cloudAnalytic DBMS for HadoopDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability
Primary database modelSearch engineGraph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#133  Overall
#12  Search engines
Score2.20
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Websiteaws.amazon.com/­cloudsearchaws.amazon.com/­neptuneimpala.apache.orgwww.datomic.com
Technical documentationdocs.aws.amazon.com/­cloudsearchaws.amazon.com/­neptune/­developer-resourcesimpala.apache.org/­impala-docs.htmldocs.datomic.com
DeveloperAmazonAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaCognitect
Initial release2012201720132012
Current release4.1.0, June 20221.0.7180, July 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2commercial infolimited edition free
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, Clojure
Server operating systemshostedhostedLinuxAll OS with a Java VM
Data schemeyesschema-freeyesyes
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.nonono
Secondary indexesyes infoall search fields are automatically indexednoyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsno
APIs and other access methodsHTTP APIOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCClojure
Java
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduceyes infoTransaction Functions
TriggersnononoBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneShardingnone infoBut extensive use of caching in the application peers
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-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.selectable replication factornone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)
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 development
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles infobased on Apache Sentry and Kerberosno

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More resources
Amazon CloudSearchAmazon NeptuneApache ImpalaDatomic
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