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AWS Lake Formation

AWS Lake Formation Alternatives & Competitors

(1)4.5 out of 5

Looking for alternatives to AWS Lake Formation? Tons of people want Big Data Processing and Distribution Software. What's difficult is finding out whether or not the software you choose is right for you. Microsoft SQL, Google BigQuery, Snowflake, and Qubole are the most popular alternatives and competitors to AWS Lake Formation.

Top Alternatives to AWS Lake Formation

  • Microsoft SQL
  • Google BigQuery
  • Snowflake
  • Qubole
  • Hadoop HDFS

Top 20 Alternatives & Competitors to AWS Lake Formation

    #1
    #1
  1. Microsoft SQL

    (1,984)4.4 out of 5

    SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI.

    Categories in common with AWS Lake Formation:
  2. SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI.

    Categories in common with AWS Lake Formation:

    UC
    its really easy to learn, and integrate with .NET applications.
    #2
    #2
  3. Google BigQuery

    (282)4.4 out of 5

    Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data.

    Categories in common with AWS Lake Formation:
  4. Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data.

    Categories in common with AWS Lake Formation:

    ER
    Ability to seamlessly keep up with state of the art technologies.
    18%   of software applications aren't well liked by teams using them.
    Find out how your team feels about your stack with G2 Pulse Surveys.
    Learn More
    #3
    #3
  5. Snowflake

    (280)4.6 out of 5
    Optimized for quick response

    Snowflake’s cloud data platform shatters the barriers that have prevented organizations of all sizes from unleashing the true value from their data. Thousands of customers deploy Snowflake to advance their organizations beyond what was possible by deriving all the insights from all their data by all their business users. Snowflake equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure, and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications. Snowflake: Data without limits. Find out more at Snowflake.com.

    Categories in common with AWS Lake Formation:
  6. Snowflake’s cloud data platform shatters the barriers that have prevented organizations of all sizes from unleashing the true value from their data. Thousands of customers deploy Snowflake to advance their organizations beyond what was possible by deriving all the insights from all their data by all their business users. Snowflake equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure, and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications. Snowflake: Data without limits. Find out more at Snowflake.com.

    Categories in common with AWS Lake Formation:

    CM
    regional failover AND cloud service failover as new features, i.e failover from AWS to Azure. Simple to use, secure, and connect.
    #4
    #4
  7. Qubole

    (256)4.0 out of 5
    Optimized for quick response

    Qubole delivers a Self-Service Platform for Big Data Analytics built on Amazon, Microsoft and Google Clouds

    Categories in common with AWS Lake Formation:
  8. Qubole delivers a Self-Service Platform for Big Data Analytics built on Amazon, Microsoft and Google Clouds

    Categories in common with AWS Lake Formation:

    UP
    I like that it is very easy to get started with Qubole. If you want to experiment with data lakes a bit without investing a lot of time or energy into getting your data lake set up, Qubole is...Read more
    #5
    #5
  9. Hadoop HDFS

    (94)4.3 out of 5

    Hadoop HDFS is a distributed, scalable, and portable filesystem written in Java.

    Categories in common with AWS Lake Formation:
  10. Hadoop HDFS is a distributed, scalable, and portable filesystem written in Java.

    Categories in common with AWS Lake Formation:

    UC
    The hadoop platform is essentially an open industry standard in cloud computing, several essential tools for modern production quality machine learning applications support scaling via hadoop /...Read more
    #6
    #6
  11. TIMi Suite

    (32)4.8 out of 5

    The TIMi Suite: a complete and integrated suite of datamining tools that are covering all your analytical needs for your enterprise!

    Categories in common with AWS Lake Formation:
  12. The TIMi Suite: a complete and integrated suite of datamining tools that are covering all your analytical needs for your enterprise!

    Categories in common with AWS Lake Formation:

    DM
    The most useful thing in my opinion is to make predictive models since it is very fast to run and gives good results
    #7
    #7
  13. Google Cloud Dataflow

    (29)4.1 out of 5

    Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness.

    Categories in common with AWS Lake Formation:
  14. Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness.

    Categories in common with AWS Lake Formation:

    AA
    There are users that require immense computing power to create. Google Cloud Platform can provide that without taxing valuable resources. With this, companies can offer the best graphics, images,...Read more
    #8
    #8
  15. Druid

    (29)4.2 out of 5

    Open source streaming data store for interactive analytics at scale.

    Categories in common with AWS Lake Formation:
  16. Open source streaming data store for interactive analytics at scale.

    Categories in common with AWS Lake Formation:

    UR
    Out-of-the-box connectors for Apache Kafka, HDFS, AWS S3, stream processors, and more.
    #9
    #9
  17. Cloudera

    (25)4.1 out of 5

    Cloudera Enterprise Core provides a single Hadoop storage and management platform that natively combines storage, processing and exploration for the enterprise.

    Categories in common with AWS Lake Formation:
  18. Cloudera Enterprise Core provides a single Hadoop storage and management platform that natively combines storage, processing and exploration for the enterprise.

    Categories in common with AWS Lake Formation:

    UC
    I have been working on Cloudera Hadoop Distributions (CDH) since last two years. In this capacity, I have encountered many amazing features of CDH including but not limited to User Interface (UI)...Read more
    #10
    #10
  19. Azure Data Lake Store

    (20)4.6 out of 5

    Azure Data Lake Store is secured, massively scalable, and built to the open HDFS standard, allowing you to run massively-parallel analytics.

    Categories in common with AWS Lake Formation:
  20. Azure Data Lake Store is secured, massively scalable, and built to the open HDFS standard, allowing you to run massively-parallel analytics.

    Categories in common with AWS Lake Formation:

    CI
    using data factories for transforming data and scheduling jobs
    #11
    #11
  21. Snowplow Analytics

    (25)4.6 out of 5

    Snowplow is a data delivery platform that collects and operationalizes behavioral data at scale. We empower you and your team to rise above the difficulties of data delivery and organization, enabling you to focus on your data journey.

    Categories in common with AWS Lake Formation:
  22. Snowplow is a data delivery platform that collects and operationalizes behavioral data at scale. We empower you and your team to rise above the difficulties of data delivery and organization, enabling you to focus on your data journey.

    Categories in common with AWS Lake Formation:

    Shamira A.
    SA
    The open source platform that can be installed on AWS= awesome! Amazing workflow and intuitive.
    #12
    #12
  23. Databricks

    (20)4.2 out of 5

    Making big data simple

    Categories in common with AWS Lake Formation:
  24. Making big data simple

    Categories in common with AWS Lake Formation:

    Reeham N.
    RN
    The ability to automatically load data from aws into databricks for collection, and analysis. It does a great job of customizing the notebooks and nodes that can be created.
    #13
    #13
  25. Apache Ambari

    (21)4.2 out of 5

    Apache Ambari is a software project designed to enable system administrators to provision, manage and monitor a Hadoop cluster, and also to integrate Hadoop with the existing enterprise infrastructure.

    Categories in common with AWS Lake Formation:
  26. Apache Ambari is a software project designed to enable system administrators to provision, manage and monitor a Hadoop cluster, and also to integrate Hadoop with the existing enterprise infrastructure.

    Categories in common with AWS Lake Formation:

    UT
    Easy configuration Management, Access Control, Single Interface to manage all components .
    #14
    #14
  27. Dremio

    (21)4.8 out of 5

    Dremio is a data analysis software. It is self-service data platform provided that users discover, accelerate and share data at any time.

    Categories in common with AWS Lake Formation:
  28. Dremio is a data analysis software. It is self-service data platform provided that users discover, accelerate and share data at any time.

    Categories in common with AWS Lake Formation:

    Matthew B.
    MB
    * Integrates nicely with AWS. supports s3 buckets and aws hosted databases as data sources, as well as being able to use aws glue as a metastore. * It's fast. Dremio is able to perform complex...Read more
    #15
    #15
  29. Azure HDInsight

    (15)3.9 out of 5

    HDInsight is a fully-managed cloud Hadoop offering that provides optimized open source analytic clusters for Spark, Hive, MapReduce, HBase, Storm, Kafka, and R Server backed by a 99.9% SLA.

    Categories in common with AWS Lake Formation:
  30. HDInsight is a fully-managed cloud Hadoop offering that provides optimized open source analytic clusters for Spark, Hive, MapReduce, HBase, Storm, Kafka, and R Server backed by a 99.9% SLA.

    Categories in common with AWS Lake Formation:

    CK
    High Availability Unlike other vendors, the Microsoft Azure cloud offers high availability and redundancy in data centers on a global scale. Because of this, Azure can offer a service level...Read more
    #16
    #16
  31. Apache Beam

    (15)4.0 out of 5

    Apache Beam is an open source unified programming model designed to define and execute data processing pipelines, including ETL, batch and stream processing.

    Categories in common with AWS Lake Formation:
  32. Apache Beam is an open source unified programming model designed to define and execute data processing pipelines, including ETL, batch and stream processing.

    Categories in common with AWS Lake Formation:

    UT
    In terms of capabilities and generality, I think Apache Beam is currently the most advanced and most flexible framework for designing and implementing modern data-intensive applications. Perfectly...Read more
    #17
    #17
  33. Oracle Big Data Cloud Service

    (14)4.0 out of 5

    Oracle Big Data Cloud Service offers an integrated portfolio of products to help organize and analyze diverse data sources alongside existing data.

    Categories in common with AWS Lake Formation:
  34. Oracle Big Data Cloud Service offers an integrated portfolio of products to help organize and analyze diverse data sources alongside existing data.

    Categories in common with AWS Lake Formation:

    JS
    Helped bring our 20+ different data sources into one manageable "data lake". In addition, Oracle Big data makes it easy to integrate our autonomous processes which we used for reports.
    #18
    #18
  35. Pentaho Data Integration

    (14)4.3 out of 5

    Enable users to ingest, blend, cleanse and prepare diverse data from any source. With visual tools to eliminate coding and complexity, Pentaho puts the best quality data at the fingertips of IT and the business.

    Categories in common with AWS Lake Formation:
  36. Enable users to ingest, blend, cleanse and prepare diverse data from any source. With visual tools to eliminate coding and complexity, Pentaho puts the best quality data at the fingertips of IT and the business.

    Categories in common with AWS Lake Formation:

    zahit B.
    ZB
    Pentaho Data Integration (PDI) is a free and open source tool for all users. Pentaho Data Integration (PDI) is a very high performance product compared to the paid ETL tools. The product is quite...Read more
    #19
    #19
  37. Google Cloud Dataproc

    (14)4.3 out of 5

    Google Cloud Dataproco easily processes big datasets at low cost.

    Categories in common with AWS Lake Formation:
  38. Google Cloud Dataproco easily processes big datasets at low cost.

    Categories in common with AWS Lake Formation:

    UM
    Its easy to spin up and close dataproc clusters on demand, easy access to bigquery and google cloud storage and run spark job.
    #20
    #20
  39. Google Cloud Dataprep

    (12)4.3 out of 5

    Google Cloud Dataprep is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis. Cloud Dataprep is serverless and works at any scale.

    Categories in common with AWS Lake Formation:
  40. Google Cloud Dataprep is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis. Cloud Dataprep is serverless and works at any scale.

    Categories in common with AWS Lake Formation:

    AA
    How easy it cleans up and organizes my data. We used it to pull together large quantities of data and it went pretty seamlessly. It also has great sorting capabilities. It also transfers into...Read more