DBMS > Elasticsearch vs. Google BigQuery vs. IBM Db2 warehouse
System Properties Comparison Elasticsearch vs. Google BigQuery vs. IBM Db2 warehouse
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|Editorial information provided by DB-Engines|
|Name||Elasticsearch Xexclude from comparison||Google BigQuery Xexclude from comparison||IBM Db2 warehouse formerly named IBM dashDB Xexclude from comparison|
|Description||A distributed, RESTful modern search and analytics engine based on Apache Lucene Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric||Large scale data warehouse service with append-only tables||Cloud-based data warehousing service|
|Primary database model||Search engine||Relational DBMS||Relational DBMS|
|Secondary database models||Document store|
|Current release||8.6, January 2023|
|License Commercial or Open Source||Open Source Elastic License||commercial||commercial|
|Cloud-based only Only available as a cloud service||no||yes||yes|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||All OS with a Java VM||hosted||hosted|
|Data scheme||schema-free Flexible type definitions. Once a type is defined, it is persistent||yes||yes|
|Typing predefined data types such as float or date||yes||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no||no Import/export of XML data possible|
|Secondary indexes||yes All search fields are automatically indexed||no||yes|
|SQL Support of SQL||SQL-like query language||yes||yes|
|APIs and other access methods||Java API|
RESTful HTTP/JSON API
|RESTful HTTP/JSON API||.NET Client API|
|Supported programming languages||.Net|
Community Contributed Clients
|Triggers||yes by using the 'percolation' feature||no||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding||none||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||yes|
|MapReduce Offers an API for user-defined Map/Reduce methods||ES-Hadoop Connector||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||no Since BigQuery is designed for querying data||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||Memcached and Redis integration||no||yes|
|User concepts Access control||Access privileges (owner, writer, reader) on dataset, table or view level Google Cloud Identity & Access Management (IAM)||fine grained access rights according to SQL-standard|
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|3rd parties||CData: Connect to Big Data & NoSQL through standard Drivers.|
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|Elasticsearch||Google BigQuery||IBM Db2 warehouse formerly named IBM dashDB|
|DB-Engines blog posts|
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