DBMS > Elasticsearch vs. Google Cloud Bigtable
System Properties Comparison Elasticsearch vs. Google Cloud Bigtable
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|Editorial information provided by DB-Engines|
|Name||Elasticsearch Xexclude from comparison||Google Cloud Bigtable 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||Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.|
|Primary database model||Search engine||Key-value store|
Wide column store
|Secondary database models||Document store|
|Current release||8.6, January 2023|
|License Commercial or Open Source||Open Source Elastic License||commercial|
|Cloud-based only Only available as a cloud service||no||yes|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||All OS with a Java VM||hosted|
|Data scheme||schema-free Flexible type definitions. Once a type is defined, it is persistent||schema-free|
|Typing predefined data types such as float or date||yes||no|
|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|
|Secondary indexes||yes All search fields are automatically indexed||no|
|SQL Support of SQL||SQL-like query language||no|
|APIs and other access methods||Java API|
RESTful HTTP/JSON API
|gRPC (using protocol buffers) API|
HappyBase (Python library)
HBase compatible API (Java)
|Supported programming languages||.Net|
Community Contributed Clients
|Server-side scripts Stored procedures||yes||no|
|Triggers||yes by using the 'percolation' feature||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Internal replication in Colossus, and regional replication between two clusters in different zones|
|MapReduce Offers an API for user-defined Map/Reduce methods||ES-Hadoop Connector||yes|
|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 (for a single cluster), Eventual consistency (for two or more replicated clusters)|
|Foreign keys Referential integrity||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||Atomic single-row operations|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||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|
|User concepts Access control||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)|
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|Elasticsearch||Google Cloud Bigtable|
|DB-Engines blog posts|
PostgreSQL is the DBMS of the Year 2017 Elasticsearch moved into the top 10 most popular database management systems MySQL, PostgreSQL and Redis are the winners of the March ranking
Elasticsearch moved into the top 10 most popular database management systems MySQL, PostgreSQL and Redis are the winners of the March ranking
MySQL, PostgreSQL and Redis are the winners of the March ranking
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