DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Google Cloud Spanner vs. InfluxDB vs. InterSystems Caché vs. JaguarDB vs. Microsoft SQL Server

System Properties Comparison Google Cloud Spanner vs. InfluxDB vs. InterSystems Caché vs. JaguarDB vs. Microsoft SQL Server

Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonInfluxDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.DBMS for storing time series, events and metricsA multi-model DBMS and application serverPerformant, highly scalable DBMS for AI and IoT applicationsMicrosofts flagship relational DBMS
Primary database modelRelational DBMSTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Key-value store
Vector DBMS
Relational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument storeDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Websitecloud.google.com/­spannerwww.influxdata.com/­products/­influxdb-overviewwww.intersystems.com/­products/­cachewww.jaguardb.comwww.microsoft.com/­en-us/­sql-server
Technical documentationcloud.google.com/­spanner/­docsdocs.influxdata.com/­influxdbdocs.intersystems.comwww.jaguardb.com/­support.htmllearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperGoogleInterSystemsDataJaguar, Inc.Microsoft
Initial release20172013199720151989
Current release2.7.6, April 20242018.1.4, May 20203.3 July 2023SQL Server 2022, November 2022
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoGPL V3.0commercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageGoC++ infothe server part. Clients available in other languagesC++
Server operating systemshostedLinux
OS X infothrough Homebrew
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
LinuxLinux
Windows
Data schemeyesschema-freedepending on used data modelyesyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyesyes
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.nonoyesnoyes
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011SQL-like query languageyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HTTP API
JSON over UDP
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesGo
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
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnonoyesnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlynoneShardingtables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.selectable replication factor infoin enterprise version onlySource-replica replicationMulti-source replicationyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyes infoDepending on used storage engineyesnoyes
User concepts infoAccess controlAccess 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 rolesrights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
Google Cloud SpannerInfluxDBInterSystems CachéJaguarDBMicrosoft SQL Server
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
News

Deadman Alerts with Grafana and InfluxDB Cloud 3.0
20 June 2024

Scaling Data Collection: Solving Renewable Energy Challenges with InfluxDB
6 June 2024

Chasing the Skies: Monitoring Flights with InfluxDB
4 June 2024

Monitoring Your Cloud Environments and Applications with InfluxDB
30 May 2024

Webinar Recap: Unleash the Full Potential of Your Time Series Data with InfluxDB and AWS
29 May 2024

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesNavicat Monitor is a safe, simple and agentless remote server monitoring tool for SQL Server and many other database management systems.
» more

Navicat for SQL Server gives you a fully graphical approach to database management and development.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Google Cloud SpannerInfluxDBInterSystems CachéJaguarDBMicrosoft SQL Server
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all

MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

Microsoft SQL Server is the DBMS of the Year
4 January 2017, Matthias Gelbmann, Paul Andlinger

show all

Recent citations in the news

Google turns up the heat on AWS, claims Cloud Spanner is half the cost of DynamoDB
11 October 2023, TechCrunch

Google makes its Cloud Spanner database service faster and more cost-efficient
11 October 2023, SiliconANGLE News

Google Cloud Spanner Is Now Half the Cost of Amazon DynamoDB
13 October 2023, Datanami

Google Spanner: When Do You Need to Move to It?
11 September 2023, hackernoon.com

Google Cloud Spanner competes directly with Amazon DynamoDB
12 October 2023, Techzine Europe

provided by Google News

Run and manage open source InfluxDB databases with Amazon Timestream | Amazon Web Services
14 March 2024, AWS Blog

Apache Doris for Log and Time Series Data Analysis in NetEase: Why Not Elasticsearch and InfluxDB?
5 June 2024, hackernoon.com

Amazon Timestream: Managed InfluxDB for Time Series Data
14 March 2024, The New Stack

InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World
14 March 2024, Business Wire

How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency
15 March 2024, Datanami

provided by Google News

Defense Health Agency Awards Four Points Technology $39 Million for Intersystems Software Licenses and Maintenance
21 September 2023, ClearanceJobs

AWS, GCP, Oracle, Azure, SAP Lead Cloud DBMS Market: Gartner
12 February 2022, CRN

Announcing IBM Spectrum Sentinel: Building a Cyber Resilient Future
24 June 2022, IBM

Associative Data Modeling Demystified - Part1 - DataScienceCentral.com
9 July 2016, Data Science Central

Choosing a Database Technology. A roadmap and process overview | by Shirish Joshi
23 February 2020, Towards Data Science

provided by Google News

10 Easy Tips for Better SQL Server Performance
2 June 2024, ITPro Today

How to automate an in-place upgrade of SQL Server on Amazon EC2 | Amazon Web Services
5 June 2024, AWS Blog

Mastering the SQL Server command-line interface
30 May 2024, SitePoint

SQL Server vNext: When and What Is Coming
15 May 2024, redmondmag.com

SQL Server 2014 end of support: Keep your customers secure
28 March 2024, microsoft.com

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here