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DBMS > Elasticsearch vs. Google Cloud Bigtable vs. Qdrant vs. SiriDB

System Properties Comparison Elasticsearch vs. Google Cloud Bigtable vs. Qdrant vs. SiriDB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonQdrant  Xexclude from comparisonSiriDB  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-performance vector database with neural network or semantic-based matchingOpen Source Time Series DBMS
Primary database modelSearch engineKey-value store
Wide column store
Vector DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitewww.elastic.co/­elasticsearchcloud.google.com/­bigtablegithub.com/­qdrant/­qdrant
qdrant.tech
siridb.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlcloud.google.com/­bigtable/­docsqdrant.tech/­documentationdocs.siridb.com
DeveloperElasticGoogleQdrantCesbit
Initial release2010201520212017
Current release8.6, January 2023
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen Source infoApache Version 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRustC
Server operating systemsAll OS with a Java VMhostedDocker
Linux
macOS
Windows
Linux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoNumbers, Strings, Geo, Booleanyes infoNumeric data
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 indexesyes infoAll search fields are automatically indexednoyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLSQL-like query languagenonono
APIs and other access methodsJava API
RESTful HTTP/JSON API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
HTTP API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesnono
Triggersyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesCollection-level replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryesnono
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)Eventual Consistency, tunable consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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)Key-based authenticationsimple rights management via user accounts

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More resources
ElasticsearchGoogle Cloud BigtableQdrantSiriDB
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