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

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

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonApache Impala  Xexclude from comparisonDatomic  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAnalytic DBMS for HadoopDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEmbeddable relational database for web apps written in pure JavaScript
Primary database modelSearch engineRelational DBMSRelational 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
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.22
Rank#306  Overall
#138  Relational DBMS
Websiteaws.amazon.com/­cloudsearchimpala.apache.orgwww.datomic.comgoogle.github.io/­lovefield
Technical documentationdocs.aws.amazon.com/­cloudsearchimpala.apache.org/­impala-docs.htmldocs.datomic.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaCognitectGoogle
Initial release2012201320122014
Current release4.1.0, June 20221.0.7180, July 20242.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial infolimited edition freeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, ClojureJavaScript
Server operating systemshostedLinuxAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesyesyesyes
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 indexedyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsHTTP APIJDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
JavaScript
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes infoTransaction Functionsno
TriggersnonoBy using transaction functionsUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingnone infoBut extensive use of caching in the application peersnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable replication factornone infoBut extensive use of caching in the application peersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes, by using IndexedDB or the cloud service Firebase Realtime Database
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 infousing MemoryDB
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnono

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More resources
Amazon CloudSearchApache ImpalaDatomicLovefield
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