Kylo

Kylo

Teradata
+
+

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About

Impala provides low latency and high concurrency for BI/analytic queries on the Hadoop ecosystem, including Iceberg, open data formats, and most cloud storage options. Impala also scales linearly, even in multitenant environments. Impala is integrated with native Hadoop security and Kerberos for authentication, and via the Ranger module, you can ensure that the right users and applications are authorized for the right data. Utilize the same file and data formats and metadata, security, and resource management frameworks as your Hadoop deployment, with no redundant infrastructure or data conversion/duplication. For Apache Hive users, Impala utilizes the same metadata and ODBC driver. Like Hive, Impala supports SQL, so you don't have to worry about reinventing the implementation wheel. With Impala, more users, whether using SQL queries or BI applications, can interact with more data through a single repository and metadata stored from source through analysis.

About

Kylo is an open source enterprise-ready data lake management software platform for self-service data ingest and data preparation with integrated metadata management, governance, security and best practices inspired by Think Big's 150+ big data implementation projects. Self-service data ingest with data cleansing, validation, and automatic profiling. Wrangle data with visual sql and an interactive transform through a simple user interface. Search and explore data and metadata, view lineage, and profile statistics. Monitor health of feeds and services in the data lake. Track SLAs and troubleshoot performance. Design batch or streaming pipeline templates in Apache NiFi and register with Kylo to enable user self-service. Organizations can expend significant engineering effort moving data into Hadoop yet struggle to maintain governance and data quality. Kylo dramatically simplifies data ingest by shifting ingest to data owners through a simple guided UI.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Anyone seeking a native analytic database tool for open data and table formats

Audience

Organizations that need an open-source data lake management software platform for self-service data ingest and data preparation

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Apache
United States
impala.apache.org

Company Information

Teradata
Founded: 1979
United States
kylo.io

Alternatives

Apache Sentry

Apache Sentry

Apache Software Foundation

Alternatives

Apache Atlas

Apache Atlas

Apache Software Foundation
Apache Iceberg

Apache Iceberg

Apache Software Foundation
Impala

Impala

Command Line Software
MANTA

MANTA

Manta

Categories

Categories

Integrations

Hadoop
3forge
Amazon Web Services (AWS)
Apache Hive
Apache Iceberg
Apache Spark
BiG EVAL
Cloudera Data Warehouse
Data Sentinel
Elasticsearch
HashiCorp Vault
Inferyx
MySQL
OpenMetadata
OpenText Data Privacy & Protection Foundation
SQL
Salesforce Data 360
Talend Data Preparation
ThoughtSpot
VirtualBox

Integrations

Hadoop
3forge
Amazon Web Services (AWS)
Apache Hive
Apache Iceberg
Apache Spark
BiG EVAL
Cloudera Data Warehouse
Data Sentinel
Elasticsearch
HashiCorp Vault
Inferyx
MySQL
OpenMetadata
OpenText Data Privacy & Protection Foundation
SQL
Salesforce Data 360
Talend Data Preparation
ThoughtSpot
VirtualBox
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