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Apache Kylin: A Pioneering Force Among Big Data Tools
When it comes to big data tools, Apache Kylin is undoubtedly a force to reckon with. As a leading open-source OLAP (online analytics processing) engine for Big Data, it delivers sub-second query latency on trillions of records, significantly enhancing analytics operations across various organizations. But let's delve a bit deeper into Apache Kylin alternatives.
Kyligence: A Powerful Competitor in Big Data Analytics Tools
If you're exploring Apache Kylin alternatives, Kyligence should definitely be on your radar. As a significant player in the world of big data analytics tools, Kyligence offers an AI Augmented Analytics platform. Built on Apache Kylin, it's designed to simplify enterprise Big Data analytics for a wide range of users, from business professionals to data engineers. With machine learning, self-service analytics and seamless integration with mainstream BI tools, Kyligence makes it easy to accelerate analytics from on-premises to multi-cloud.
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MOLAP
Hybrid OLAP
Pre-Calculation
Pre-Calculation + Index + Cache
Cube Level
Cube, Row, Column and Cell-Level
No SLA
SLA Support
While both big data analytics platforms offer cutting-edge solutions, certain features position Kyligence ahead of Apache Kylin. We highlight five features that set Kyligence apart from other big data analytic tools.
In the era of big data, integrated data analytics solutions based on traditional architecture can no longer meet the growing demands of customers.
Both Apache Kylin and Kyligence are based on the scale-out architecture design. These allow both tools for big data analytics to meet the strictest needs of enterprise-level analytical applications seamlessly.
However, only Kyligence supports multi-tenancy, enabling enterprise resource sharing across multiple departments and organizations. Moreover, it guarantees the service level and security between tenants. In addition, it helps to reduce development and maintenance costs and accelerates adoption.
Kyligence is a smart engine designed to handle many different data queries, making it a one-stop platform for all user types. Being cloud-native, it's designed to meet customers' needs across the board. These include high availability, multi-tenant isolation, high throughput, and load balancing, among others. Thus, it reduces the burden of monitoring, operation, and maintenance.
Kyligence seamlessly integrates with various mainstream tools such as Power BI, Tableau, and others. As a business user, it allows you to use your preferred tools to access big data.
Kyligence provides professional support to leading companies in various industries. These include Fortune 100 companies, finance, telecommunications, manufacturing, and retail. All Kyligence products come with professional round-the-clock support to help customers accelerate their digital transformation process.
Kyligence provides granular access control to help users assign different data access permissions to specific users. You have everything under control, from a unified data source and semantic layer down to the cell level. The big data analysis tool also supports integration with existing Identity and Access Management (IAM) systems (such as LDAP and Kerberos).
Apache Kylin is based on the Hadoop big data platform and supports Hive as its main data source. Kyligence, on the other hand, supports additional SQL on Hadoop engines such as Impala and provides commercial database (data warehouse) libraries such as Oracle, Greenplum, and other connectors. Therefore, it helps companies migrate traditional analytics solutions to modern big data platforms.
Apache Kylin is an open-source big data analytics software that users install and maintain themselves. On the other hand, Kyligence is a commercial, cloud-based software built on Apache Kylin, available on platforms like AWS, Azure, and Huawei Cloud. Both fall under the OLAP (Online Analytical Processing) technology subcategory.
However, with commercial support from the Kyligence team and added features and integrations, Kyligence is ideal for businesses that prefer commercial software without the need to stay updated with open-source tools.
In your search for Apache Kylin alternatives, it's essential to consider each platform's unique features and benefits. While both Apache Kylin and Kyligence offer powerful solutions for big data analytics, Kyligence stands out due to its user-friendly features, robust security, and versatility.
So, whether you're a data engineer looking to streamline your workflow or a business professional seeking easier access to big data analytics tools, Kyligence could be the perfect fit. This big data platform comparison should help you make an informed choice.
Do you still need help figuring out which big data is the best choice for your organization? Get a full side-by-side Big Data analytics platform comparison of Apache Kylin and Kyligence
Written by members of the original contributing team to Apache Kylin, this comparison guide has all you need to ensure you decide on an OLAP analytics solution that checks off all the boxes, whether that be Apache Kylin or Kyligence. Inside you'll get:
To make the right choice, you need to know all the facts. Download this free OLAP analytics guide for Apache Kylin and Kyligence today.
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