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DBMS > Amazon Redshift vs. Elasticsearch vs. Vertica

System Properties Comparison Amazon Redshift vs. Elasticsearch vs. Vertica

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonElasticsearch  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelRelational DBMSSearch engine
Vector DBMS
Relational DBMS infoColumn oriented
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.70
Rank#36  Overall
#22  Relational DBMS
Score123.81
Rank#9  Overall
#1  Search engines
#1  Vector DBMS
Score9.78
Rank#42  Overall
#26  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.elastic.co/­elasticsearchwww.vertica.com
Technical documentationdocs.aws.amazon.com/­redshiftwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlvertica.com/­documentation
DeveloperAmazon (based on PostgreSQL)ElasticOpenText infopreviously Micro Focus and Hewlett Packard
Initial release201220102005
Current release8.6, January 202312.0.3, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoElastic Licensecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++
Server operating systemshostedAll OS with a Java VMLinux
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesyesyes
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 indexesrestrictedyes infoAll search fields are automatically indexedNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like query languageFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyesyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyes infoby using the 'percolation' featureyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectorno infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integrationno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash

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More resources
Amazon RedshiftElasticsearchVertica infoOpenText™ Vertica™
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