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MACHBASE - The Fastest Time Series DBMSMachbase is the World's Fastest Time Series DBMS for IoT and BigData
http://www.infiniflux.com/
Machbase is the World's Fastest Time Series DBMS for IoT and BigData
http://www.infiniflux.com/
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MACHBASE - The Fastest Time Series DBMS | infiniflux.com Reviews
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Machbase is the World's Fastest Time Series DBMS for IoT and BigData
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INFINIFLUX
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Do you want to try InfiniFlux? Infiniflux can be embedded on appliances. You can test InfiniFlux without a license. To request a demo license, click [License] tab. 3018813 ( 2016-08-24 ). Infiniflux-emb-3.0.1.8813.official-LINUX-X86-64-release.rpm. Wget http:/ www.infiniflux.com/dist/infiniflux-emb-3.0.1.8813.official-LINUX-X86-64-release.rpm. Sudo yum localinstall infiniflux-emb-3.0.1.8813.official-LINUX-X86-64-release.rpm. Infiniflux-emb-3.0.1.8813.official-LINUX-X86-64-release.deb. Sudo dpkg -i infini...
INFINIFLUX
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The Fastest Time Series DBMS. For IoT and BigData. Why InfiniFlux DBMS for IoT BigData. Columnar DBMS tailored to process "machine data" i.e the time series log data generated from IoT devices. Collect, store, index, retrieve, analyze and visualize big data in real-time. Able to store log data, at a high speed, generating hundreds of thousands of data every second. Support standard ANSI SQL,. ODBC, JDBC and RESTful API. Write once, read many. Designed not to update data. Connect with R and Tableau and.
INFINIFLUX
http://www.infiniflux.com/partners
The Fastest Time Series DBMS. For IoT and BigData. Why InfiniFlux DBMS for IoT BigData. Columnar DBMS tailored to process "machine data" i.e the time series log data generated from IoT devices. Collect, store, index, retrieve, analyze and visualize big data in real-time. Able to store log data, at a high speed, generating hundreds of thousands of data every second. Support standard ANSI SQL,. ODBC, JDBC and RESTful API. Write once, read many. Designed not to update data. Connect with R and Tableau and.
INFINIFLUX
http://www.infiniflux.com/performance
Through the comparison with others, you can see the performance of InfiniFlux. InfiniFlux 3.0.0. MongoDB 3.2.6. Splunk 6.4.0. MySQL 5.7.12. Elasticsearch 2.3.3. Intel(R) Core(TM) i7-4790 CPU @ 3.60GHz(4 core). TOSHIBA MC04ACA400E (SATAIII) FP2A Firmware. This graph shows the total time to enter 100 million data into each database and index them. Using InfiniFlux is the fastest way to load them as you see from this graph. It takes 450 seconds for InifiniFlux to do. STORAGE SIZE : data index(GB). Select co...
INFINIFLUX
http://www.infiniflux.com/demo
The Fastest Time Series DBMS. For IoT and BigData. Why InfiniFlux DBMS for IoT BigData. Columnar DBMS tailored to process "machine data" i.e the time series log data generated from IoT devices. Collect, store, index, retrieve, analyze and visualize big data in real-time. Able to store log data, at a high speed, generating hundreds of thousands of data every second. Support standard ANSI SQL,. ODBC, JDBC and RESTful API. Write once, read many. Designed not to update data. Connect with R and Tableau and.
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The complete list of all time series databases for your IoT project | Erol.si
http://www.erol.si/2015/01/the-complete-list-of-all-timeseries-databases-for-your-iot-project
The complete list of all time series databases for your IoT project. January 8, 2015. May 4, 2016. While searching the perfect database for my project, I spent hours and hours searching the internet and making a list of all candidates. Quickly I realized that the list is pretty long. And the projects differ in many ways, but all of the have the same goal: store your time series data. How the data looks like. The structure of time series data always consists of at least 2 part. Below is the list of all th...
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MACHBASE - The Fastest Time Series DBMS
The Database of Things. Why Machbase DBMS for IoT BigData. Columnar DBMS tailored to process "machine data" i.e the time series log data generated from IoT devices. Collect, store, index, retrieve, analyze and visualize big data in real-time. Able to store log data, at a high speed, generating hundreds of thousands of data every second. Support standard ANSI SQL,. ODBC, JDBC and RESTful API. Write once, read many. Designed not to update data. Connect with R and Tableau and. We Can Do Crazy Things.
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Bernhard Brodesser | Some selected posts about computing and networking
Some selected posts about computing and networking. You have bookmarks in Safari on one of your computers, others in Firefox on another machine and recently bookmarked some interesting sites in your iPhone s browser. That is confusing. Here is how I consolidate this. If those web sites would just contain some well defined static information, you could store these as PDF or web archives in Evernote. For example. From an iOS device, you could upload these pages to Instapaper. To use the cloud based service...
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