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DBMS > Elasticsearch vs. EXASOL vs. Google Cloud Bigtable vs. Graphite vs. IRONdb

System Properties Comparison Elasticsearch vs. EXASOL vs. Google Cloud Bigtable vs. Graphite vs. IRONdb

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonEXASOL  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonIRONdb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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 metricHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelSearch engineRelational DBMSKey-value store
Wide column store
Time Series 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
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Websitewww.elastic.co/­elasticsearchwww.exasol.comcloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webwww.circonus.com/solutions/time-series-database/
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.exasol.com/­resourcescloud.google.com/­bigtable/­docsgraphite.readthedocs.iodocs.circonus.com/irondb/category/getting-started
DeveloperElasticExasolGoogleChris DavisCirconus LLC.
Initial release20102000201520062017
Current release8.6, January 2023V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonC and C++
Server operating systemsAll OS with a Java VMhostedLinux
Unix
Linux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoNumeric data onlyyes infotext, numeric, histograms
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 indexedyesnonono
SQL infoSupport of SQLSQL-like query languageyesnonoSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsJava API
RESTful HTTP/JSON API
.Net
JDBC
ODBC
WebSocket
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
HTTP API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java
Lua
Python
R
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyesuser defined functionsnonoyes, in Lua
Triggersyes infoby using the 'percolation' featureyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes infoHadoop integrationyesnono
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 ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-row operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infolockingyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesnono
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nono

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More resources
ElasticsearchEXASOLGoogle Cloud BigtableGraphiteIRONdb
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