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DBMS > EsgynDB vs. Google Cloud Bigtable vs. InfluxDB vs. InterSystems Caché

System Properties Comparison EsgynDB vs. Google Cloud Bigtable vs. InfluxDB vs. InterSystems Caché

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonInfluxDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.DBMS for storing time series, events and metricsA multi-model DBMS and application server
Primary database modelRelational DBMSKey-value store
Wide column store
Time Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Websitewww.esgyn.cncloud.google.com/­bigtablewww.influxdata.com/­products/­influxdb-overviewwww.intersystems.com/­products/­cache
Technical documentationcloud.google.com/­bigtable/­docsdocs.influxdata.com/­influxdbdocs.intersystems.com
DeveloperEsgynGoogleInterSystems
Initial release2015201520131997
Current release2.7.6, April 20242018.1.4, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT-License; commercial enterprise version availablecommercial
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 languageC++, JavaGo
Server operating systemsLinuxhostedLinux
OS X infothrough Homebrew
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesnoNumeric data and Stringsyes
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.nononoyes
Secondary indexesyesnonoyes
SQL infoSupport of SQLyesnoSQL-like query languageyes
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
JSON over UDP
.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
C++
Java
Server-side scripts infoStored proceduresJava Stored Proceduresnonoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor infoin enterprise version onlySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnoACID
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.nonoyes infoDepending on used storage engineyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple rights management via user accountsAccess rights for users, groups and roles
More information provided by the system vendor
EsgynDBGoogle Cloud BigtableInfluxDBInterSystems Caché
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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