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DBMS > Elasticsearch vs. Google Cloud Bigtable vs. TDengine

System Properties Comparison Elasticsearch vs. Google Cloud Bigtable vs. TDengine

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonTDengine  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.Time Series DBMS and big data platform
Primary database modelSearch engine
Vector DBMS
Key-value store
Wide column store
Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score131.38
Rank#8  Overall
#1  Search engines
#1  Vector DBMS
Score2.67
Rank#95  Overall
#15  Key-value stores
#6  Wide column stores
Score1.76
Rank#127  Overall
#10  Time Series DBMS
Websitewww.elastic.co/­elasticsearchcloud.google.com/­bigtablegithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlcloud.google.com/­bigtable/­docsdocs.tdengine.com
DeveloperElasticGoogleTDEngine, previously Taos Data
Initial release201020152019
Current release8.6, January 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsAll OS with a Java VMhostedLinux
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyes infoAll search fields are automatically indexednono
SQL infoSupport of SQLSQL-like query languagenoStandard SQL with extensions for time-series applications
APIs and other access methodsJava API
RESTful HTTP/JSON API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
RESTful HTTP API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyesnono
Triggersyes infoby using the 'percolation' featurenoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes
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)
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operations
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.Memcached and Redis integrationno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes
More information provided by the system vendor
ElasticsearchGoogle Cloud BigtableTDengine
Specific characteristicsTDengine™ is a time-series database designed to help traditional industries overcome...
» more
Competitive advantagesHigh Performance at Any Scale: With its distributed scalable architecture that grows...
» more
Typical application scenariosTDengine is purpose-built for Industry 4.0 and the Industrial IoT (IIoT) and particularly...
» more
Market metricsTDengine has garnered over 23,000 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is free, open-source software released under the AGPLv3. TDengine Enterprise...
» more
News

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ElasticsearchGoogle Cloud BigtableTDengine
DB-Engines blog posts

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Recent citations in the news

Report: OpenSearch Bests ElasticSearch at Vector Modeling
18 March 2025, The New Stack

Amazon OpenSearch Service announces Standard and Extended Support dates for Elasticsearch and OpenSearch versions
7 November 2024, AWS Blog

Elasticsearch will be open source again as CTO declares changed landscape
2 September 2024, DevClass

Elastic Introduces Better Binary Quantization Technique in Elasticsearch
11 November 2024, Business Wire

An unsecured Elasticsearch server exposed 1.2 billion user records containing their personal and social information
17 March 2025, packtpub.com

provided by Google News

Google Cloud adds graph processing to Spanner, SQL support to Bigtable
1 August 2024, InfoWorld

Google Cloud expands its database portfolio with new AI capabilities
1 August 2024, TechCrunch

Google scales up Cloud Bigtable NoSQL database
27 January 2022, TechTarget

Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs
31 January 2022, InfoQ.com

Google Launches Bigtable, A Big Managed Database In The Cloud
6 May 2015, Forbes

provided by Google News

Revolutionizing Success in the Time Series Database(TSDB)
7 March 2025, openPR

TDengine Brings Open Source Time-Series Database to Kubernetes
23 August 2022, Cloud Native Now

New TDengine Benchmark Results Show Up to 37.0x Higher Query Performance Than InfluxDB and TimescaleDB
28 February 2023, GlobeNewswire

provided by Google News



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