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

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

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Impala  Xexclude from comparisonDatomic  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionFast, 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 durabilityFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score4.99
Rank#65  Overall
#36  Relational DBMS
Websiteaws.amazon.com/­neptuneimpala.apache.orgwww.datomic.comtrino.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesimpala.apache.org/­impala-docs.htmldocs.datomic.comtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaCognitectTrino Software Foundation
Initial release2017201320122012 info2020 rebranded from PrestoSQL
Current release4.1.0, June 20221.0.7075, December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial infolimited edition freeOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageC++Java, ClojureJava
Server operating systemshostedLinuxAll OS with a Java VMLinux
macOS infofor devlopment
Data schemeschema-freeyesyesyes
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.nononono
Secondary indexesnoyesyesdepending on connected data-source
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP APIJDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCClojure
Java
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes infoTransaction Functionsyes, depending on connected data-source
TriggersnonoBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone infoBut extensive use of caching in the application peersdepending on connected data-source
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.selectable replication factornone infoBut extensive use of caching in the application peersdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDdepending on connected data-source
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)depending on connected data-source
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 controlAccess 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 KerberosnoSQL standard access control
More information provided by the system vendor
Amazon NeptuneApache ImpalaDatomicTrino
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
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More resources
Amazon NeptuneApache ImpalaDatomicTrino
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