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DBMS > Elasticsearch vs. Google Cloud Bigtable vs. LMDB vs. NSDb vs. RisingWave

System Properties Comparison Elasticsearch vs. Google Cloud Bigtable vs. LMDB vs. NSDb vs. RisingWave

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonLMDB  Xexclude from comparisonNSDb  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionA 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 metricGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A high performant, light-weight, embedded key-value database libraryScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelSearch engineKey-value store
Wide column store
Key-value storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score2.09
Rank#121  Overall
#20  Key-value stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websitewww.elastic.co/­elasticsearchcloud.google.com/­bigtablewww.symas.com/­symas-embedded-database-lmdbnsdb.iowww.risingwave.com/­database
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlcloud.google.com/­bigtable/­docswww.lmdb.tech/­docnsdb.io/­Architecturedocs.risingwave.com/­docs/­current/­intro
DeveloperElasticGoogleSymasRisingWave Labs
Initial release20102015201120172022
Current release8.6, January 20230.9.32, January 20241.2, September 2023
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJava, ScalaRust
Server operating systemsAll OS with a Java VMhostedLinux
Unix
Windows
Linux
macOS
Docker
Linux
macOS
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes: int, bigint, decimal, stringStandard SQL-types and JSON
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.nonononono
Secondary indexesyes infoAll search fields are automatically indexednonoall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languagenonoSQL-like query languageyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC
HTTP REST
WebSocket
JDBC
PostgreSQL wire protocol
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
Java
Scala
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnononoUDFs in Python or Java
Triggersyes infoby using the 'percolation' featurenonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noUsers and Roles

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More resources
ElasticsearchGoogle Cloud BigtableLMDBNSDbRisingWave
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