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DBMS > EXASOL vs. GeoSpock vs. Google Cloud Datastore vs. InfluxDB

System Properties Comparison EXASOL vs. GeoSpock vs. Google Cloud Datastore vs. InfluxDB

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonInfluxDB  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Spatial and temporal data processing engine for extreme data scaleAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDBMS for storing time series, events and metrics
Primary database modelRelational DBMSRelational DBMSDocument storeTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.65
Rank#85  Overall
#43  Relational DBMS
Score0.22
Rank#274  Overall
#126  Relational DBMS
Score5.79
Rank#65  Overall
#11  Document stores
Score23.34
Rank#29  Overall
#1  Time Series DBMS
Websitewww.exasol.com/­en/­productsgeospock.comcloud.google.com/­datastorewww.influxdata.com/­products/­influxdb-overview
Technical documentationwww.exasol.com/­en/­community/­resourcesdocs.geospock.com/­Content/­Home.htmcloud.google.com/­datastore/­docsdocs.influxdata.com/­influxdb
DeveloperExasolGeoSpockGoogle
Initial release200020082013
Current release2.0, September 20191.8.0, April 2020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoMIT-License; commercial enterprise version available
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptGo
Server operating systemshostedhostedLinux
OS X infothrough Homebrew
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes, details hereNumeric data and Strings
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 indexesyestemporal, categoricalyesno
SQL infoSupport of SQLyesANSI SQL for query only (using Presto)SQL-like query language (GQL)SQL-like query language
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP API
JSON over UDP
Supported programming languagesJava
Lua
Python
R
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functionsnousing Google App Engineno
TriggersyesnoCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardingSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosselectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integrityyesnoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
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.yesnonoyes infoDepending on used storage engine
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple rights management via user accounts
More information provided by the system vendor
EXASOLGeoSpockGoogle Cloud DatastoreInfluxDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more

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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
EXASOLGeoSpockGoogle Cloud DatastoreInfluxDB
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