Big Data analysis Tool counting-15 new technologies you don't know

Big data, the industry has been busy in recent weeks, many startups and some established companies have introduced data analysis and data management products, as well as updated existing products, to provide richer functionality and performance.

While these technologies are blueprint-only, some of the common themes are always the same: Provide users with simple access to data, better manage large-scale data, and pre-analyzed features such as Spark, HAWQ, and Geode to achieve more functionality.

Let's take a look at the 15 big data announcements that attract eyeballs. Although a lot is listed, but not all of the content, but recently in the California State San Jose strata + Hadoop World Conference unveiled part of the technology.

1.Altiscale Insight Cloud

Altiscale, a provider of big data services, recently launched the Altiscale Insight cloud product, a self-service data analytics service offering that enables business analysts to use products like Tableau and Excel, such as BI tools. Enable fast data lake queries without the need for the IT department to devote too much effort.

Altiscal Insight

Cloud can drive SQL queries, dynamic visualizations, real-time dashboards, and other reporting and analysis capabilities. It no longer requires a separate relational data store for aggregating data, bypassing expensive, proprietary database systems.

Altiscale also established a strategic alliance with tableau to enable Altiscale customers to implement data discovery application services by using Tableau's data visualization software with products that combine with Altiscale services.

2.AtScale Intelligence Platform 4.0

Atscale Software provides a way to use popular business intelligence tools, including Tableau and Qlik, to access data stored in a Hadoop cluster. The software creates a semantic hierarchy between Hadoop and third-party tools, which, in this case, enables multidimensional analysis by processing servers online.

Version 4.0 provides up to 100 new features and system improvements, many of which are related to enterprise security and performance.

New Atscale Hybrid Query

Service (Atscale Hybrid Query service), a Business intelligence tool that enables SQL and MDX query languages to be implemented locally. Because many businesses and organizations use multiple BI tools across their organization, Atscale's support for SQL and MDX means that these enterprises do not need to download new client software or custom drivers on their users ' computers.

3.BlueData EPIC Spring Release

Bluedata Epic is a big data-as-a-service platform designed to reduce the complexity of implementing big data technologies such as Hadoop and Spark.

The spring release of epic offers dozens of new performance and feature improvements, including improved service security and quality of service in multi-tenant deployments. The checklist includes more granular resource management controls, QoS-based allocation, performance optimization, and quota execution for multi-tenant deployments.

The new version also supports a wider range of big data applications and tools, including Cloudera Navigator and ranger for data management and security management, HAWQ for massively parallel processing analytics, Geode, Cassandra, and Kafka for real-time analytics.

4.Domo Business Cloud

Domo Business Cloud is an ecosystem for business management applications, including free and paid pre-packaged, support for business decision makers with data, insights and access, and all the answers that can help you find business questions, even in specific industries and specific roles. The company offers a free version of cloud computing, and if users need to store more data or get more advanced corporate features, such as administrative controls, they will be charged separately.

Domo recently launched the App Store, with more than 1000 business management applications to expand business cloud systems, and started the Domo App release Partner Program to develop business cloud software for third-party independent software developers.

Domo also launched Buzz, a social collaboration platform to work with the business cloud, and Domo mobile products that allow business cloud access to any mobile device.

5.Kyvos Insights with Azure HDInsight

Kyvos Insights's flagship product runs on Hadoop systems and allows enterprise users to visualize, explore and analyze massively scalable online analytical processing (OLAP) systems that store big data in Hadoop.

The Kyvos software is now working with Azure's hdinsight, a Microsoft cloud-based Hadoop platform that can help azure hdinsight users deploy Kyvos for analytics tasks.

Looker Blocks for 6.IBM cloud data Services

Looker provides access to data residing in a database or in the cloud for a web-based business intelligence platform. Last year, the company launched a reusable, customizable business logic component called Looker blocks that can create a complete Business Analytics query capability.

Looker partnered with IBM to develop a set of looker

Blocks components that enable more streamlined and customizable data analytics services by leveraging IBM's cloud data services. According to the two companies, the portfolio will allow customers to deploy a complete data platform in a few days.

7.MapD Technologies gpu-powered Database

MAPD Technologies launched a new database and visual analytics software that enables data analysts to interactively explore large datasets using a graphics processing unit chip.

By leveraging the power of the GPU, the database can perform parallel queries on nearly 4,000 cores per server, providing faster performance than leading-edge memory databases. Use with MAPD

The immerse analysis front-end tool database can handle the visibility of complex databases more quickly. (such as political donations, you can see the data on this map).

8.MemSQL 5

Memsql developed its database of the same name for transactional processing and real-time analysis. In the latest version of MemSQL5 released by the company, a range of new technologies and enhanced features are available to improve the performance of software databases, data warehouses, and streaming media workloads.

In the new version, transactions and analytics are combined into a single database through mixed transaction processing or analytical processing to support OLTP and OLAP queries. Users can implement real-time queries in a large number of write loads. Security is enhanced with pluggable authentication modules and Kerberos-like tools. Users can deploy Apache Spark by using Memsqlstreamliner, creating a real-time data pipeline for the user's visual interface, while eliminating the volume of ETL tasks.

9.Paxata Spring ' Release

Paxata's Adaptive data preparation platform, built on Apache Spark, runs in the most optimized Hadoop environment, providing data integration, data quality, semantic richness, collaboration, and management capabilities.

The new version enhances the software's ability to provide users with connectivity information through advanced Filtergrams comprehensive data analysis, fine-grained search across column-wide datasets, new choices for data discovery and statistical options, and the integration of complex nested json/xml data under Hadoop compressed files.

The release also includes new IT controls to improve the management, security, and scale of the system.

10.Platfora Big Data Discovery 5.2

Platfora is a big data discovery platform that builds native Apache Hadoop and Spark. The latest version of "democratizes" big data makes it easier to use existing business intelligence tools to access Hadoop data.

The new version provides native Tableau direct egress to prepare and enrich the data integration of tableau

(Picture data extraction) data to the Tableau desktop and to the tableau server. Other front-end bi tools can access Platfora data through lens-accelerated SQL and process queries through Sparksql and ODBC.

The Platfora5.2 also runs directly on Hadoop clusters, making it easier to leverage existing hardware and readjust computing resources, in addition to traditional, dedicated configurations. Platfora for data visualization

Vizboard has been enhanced to be "more intelligent" by default visualizations.

11.Ryft One Cluster

RYFT systems developed hardware/software devices that use the FPGA's parallel processing capability processor to accelerate TB and petabyte-level data analysis capabilities.

The new version of Ryft one cluster uses a hybrid fpga/x86 computing architecture with an open API interface, which says it can accelerate the development of big data ecosystems at 100 times-fold speeds while reducing costs by 70%.

The new system extends data analysis performance and storage linearity, processing analysis speeds of up to 200GB per second. It can work as a standalone cluster or as part of an existing Apache spark system or other big data ecosystem.

12.Tableau 9.3

Tableau announces the full listing of Tableau 9.3, with its most popular data visualization software permanently connected to desktop functionality and Snowflake Elastic Data Warehouse in the latest version.

Tableau Desktop's "Connect Always" feature makes it easier to share results with others while remaining in the flow of analysis. The software's global map coverage feature has been significantly improved, adding new data to the address resolution database and Tableau map service.

In version 9.3, a cloud data warehouse system that is locally connected to the snowflake computing is easier for tableau users to perform simple and complex data exploration and analysis. The two companies will also continue to work together to help customers move their business analytics to the cloud.

13.Talena Activerx

Telena software is used to optimize data in test and development, backup and recovery, archiving and compliance and disaster recovery systems.

Talena recently launched Activerx, a new predictive analytics software that uses machine learning algorithms and data visualization to better manage the management workloads of big data and to more accurately predict the availability of data.

The ActiveX software also provides a "drive-to-copy analysis" feature that businesses can use to convert unused backup data into useful assets.

14.TAMR Apache Spark Compatibility

TAMR's data-unified platform has a wealth of enterprise data that brings together hundreds of or even thousands of of data sources from within and outside the enterprise.

TAMR announces that its software is compatible with Apache Spark and that its memory processing engine can be used to extend machine learning, Tamr said, complementing the machine-driven approach for enterprise data.

TAMR is also developing open interfaces and core components to support spark-driven data monitoring systems.

15.Trifacta Photon

Trifacta developed "Data controversy" software, unveiled the Photon computing framework, the core user interface of the new technology, in large-scale memory data sets for users to provide a wealth of interactive data exploration and transformation experience.

Data contention is the transformation of raw data, transforming complex data into clean, structured data to be analyzed, which is one of the most challenging parts of the data analysis process.

The photon product complies with the Apache Arrow Memory data architecture requirements, providing immediate feedback to the user when interacting with the data content. The photon engine enables more data exploration in a higher level of computing.

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Big Data analysis Tool counting-15 new technologies you don't know