Hadoop HDFS Alternatives & Competitors
(94)4.3 out of 5
Looking for alternatives to Hadoop HDFS? 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. Databricks, Google BigQuery, Cloudera, and Hortonworks Data Platform are the most popular alternatives and competitors to Hadoop HDFS.
Top Alternatives to Hadoop HDFS
- Databricks
- Google BigQuery
- Cloudera
- Hortonworks Data Platform
- Microsoft SQL
- Snowflake
- Qubole
- Google Cloud Dataflow
- Databricks(20)4.2 out of 5
Making big data simple
Categories in common with Hadoop HDFS: - 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 Hadoop HDFS: - 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 Hadoop HDFS: - Hortonworks Data Platform(11)4.0 out of 5
Hadoop Distribution
Categories in common with Hadoop HDFS: - 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 Hadoop HDFS: - Snowflake(280)4.6 out of 5Optimized 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 Hadoop HDFS: - Qubole(255)4.0 out of 5Optimized for quick response
Qubole delivers a Self-Service Platform for Big Data Analytics built on Amazon, Microsoft and Google Clouds
Categories in common with Hadoop HDFS: - 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 Hadoop HDFS: - Google Cloud Dataproc(14)4.3 out of 5
Google Cloud Dataproco easily processes big datasets at low cost.
Categories in common with Hadoop HDFS: - Amazon EMR(47)4.0 out of 5
Amazon EMR is a web-based service that simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective to distribute and process vast amounts of data across dynamically scalable Amazon EC2 instances.
Categories in common with Hadoop HDFS: - 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 Hadoop HDFS: - 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 Hadoop HDFS: - 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 Hadoop HDFS: - 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 Hadoop HDFS: - 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 Hadoop HDFS: - TIMi Suite(31)4.9 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 Hadoop HDFS: - Druid(29)4.2 out of 5
Open source streaming data store for interactive analytics at scale.
Categories in common with Hadoop HDFS: - Apache Spark for Azure HDInsight(11)4.0 out of 5
Apache Spark for Azure HDInsight is an open source processing framework that runs large-scale data analytics applications.
Categories in common with Hadoop HDFS: - 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 Hadoop HDFS: - 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 Hadoop HDFS:
#1
VB
DataBricks is a great analytics tool which provides lightening speed analytics and has given new abilities to Data Scientists. Additionally, our advanced analytics at scale has gone up 100 times.
Reviewers say compared to Hadoop HDFS, Databricks is:
More expensive
More usable
#2
JC
Low cost, low barrier to entry, and blazing fast. We're a relatively small company and BigQuery lets us handle 70+ TB of data with ease. It has been the catalyst of turning our company into a data...Read more
Reviewers say compared to Hadoop HDFS, Google BigQuery is:
Easier to admin
Easier to set up
More expensive
#3
UT
I’m using cloudera platform for CCA 175 Hadoop and Spark Developer certification preparation. Best thing is it fits in 8 gb ram machine. It includes almost all the hadoop eco systems.
Reviewers say compared to Hadoop HDFS, Cloudera is:
More expensive
Easier to set up
More usable
#4
LN
The tutorials that they provide on their website are the best.
So, simplified and easy to understand. Plus they also provide us with the working model of their implementation which we can...Read more
Reviewers say compared to Hadoop HDFS, Hortonworks Data Platform is:
More expensive
Easier to do business with
Easier to admin
#5
IF
The setup and use across different teams would be very easy and smooth.Easy and best for Naive users. Support for accessing multiple connections at the same time without any interruptions.
Reviewers say compared to Hadoop HDFS, Microsoft SQL is:
Slower to reach roi
More expensive
Easier to admin
#6
SS
We got to modernise our ailing, ageing data infrastructure without it costing the earth. Our data staff, all conversant in SQL were able to transfer their skills overnight, and our analytics...Read more
Reviewers say compared to Hadoop HDFS, Snowflake is:
Easier to set up
More expensive
Easier to admin
#7
CA
1- Walk though of the product
2- Understanding our need and mapping the product accordingly.
3- Live demo
Reviewers say compared to Hadoop HDFS, Qubole is:
More expensive
Easier to set up
Easier to admin
#8
KK
It's hyper-scalable platform to do ETL for my workflow and easy to use.
Reviewers say compared to Hadoop HDFS, Google Cloud Dataflow is:
More expensive
More usable
Better at support
#9
UA
Cloud Dataproc is a fast, easy-to-use, fully-managed cloud service for running Apache Spark and Apache Hadoop clusters in a simpler, more cost-efficient way. Processing speeds are quick and...Read more
Reviewers say compared to Hadoop HDFS, Google Cloud Dataproc is:
More expensive
More usable
Better at support
#10
AF
Very user friendly interface, no need to maintain any libraries
Reviewers say compared to Hadoop HDFS, Amazon EMR is:
Slower to reach roi
More expensive
Easier to admin
#11
CX
Azure has a tremendous selection of built-in deployment tool for virtual machines and servers in the cloud. The marketplace is divided into Compute, Networking, Storage, Web+Mobile, Databases,...Read more
Reviewers say compared to Hadoop HDFS, Azure HDInsight is:
More expensive
Better at support
More usable
#12
EN
cloud first, active support for new technologies. knowledgeable founders and technical leads
Reviewers say compared to Hadoop HDFS, Snowplow Analytics is:
More expensive
Easier to do business with
Better at support
#13
RG
Azure Data Lake storage performs very fast as it provides a Hadoop compatible file system. It's cost-effective because it provides a way to manage your the lifecycle policy of your files. It has an...Read more
Reviewers say compared to Hadoop HDFS, Azure Data Lake Store is:
More expensive
Easier to set up
Easier to admin
#14
IF
The power of the individual nodes with easy management
Reviewers say compared to Hadoop HDFS, Oracle Big Data Cloud Service is:
More expensive
Easier to admin
Easier to set up
#15
AS
Dremio helps us a lot to manage a high workloads from our reportnig systems and achieve a fast response time for more then 500 management dashboards. Many of our end-users like work with Dremio to...Read more
Reviewers say compared to Hadoop HDFS, Dremio is:
Easier to do business with
Slower to reach roi
Better at support
#16
CI
It is very easy to learn to use, the interface is simple and intuitive. An application that is essential in the strategic planning and decision-making of companies.
Reviewers say compared to Hadoop HDFS, TIMi Suite is:
Easier to do business with
Easier to set up
Easier to admin
#17
CA
Fast and provide support for complex queries
Reviewers say compared to Hadoop HDFS, Druid is:
More expensive
More usable
Better at support
#18
AR
The most important thing about Apache Spark is that 10X faster than another data analysis platform as Hadoop.
Reviewers say compared to Hadoop HDFS, Apache Spark for Azure HDInsight is:
More expensive
More usable
Better at support
#19
SJ
All its features that it advertises work well and the learning curve is not very steep so it is easy to use. Additionally, it delivers on its promises. Data preparation is now much easier and...Read more
Reviewers say compared to Hadoop HDFS, Google Cloud Dataprep is:
More usable
More expensive
Better at support
#20
CI
Pentaho data integration is one of the most powerful tools for building ETL processes that we use within our Smart Cities projects. It is a tool with a graphical interface that allows you to debug...Read more
Reviewers say compared to Hadoop HDFS, Pentaho Data Integration is:
Easier to admin
More expensive
More usable
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