BigQuery Alternatives & Competitors
(282)4.4 out of 5
Looking for alternatives to Google BigQuery? Tons of people want Data Warehouse Software to help with ai/ ml integration, data lake integration, and built-in data analytics. What's difficult is finding out whether or not the software you choose is right for you. We have compiled a list of Data Warehouse Software that reviewers voted best overall compared to Google BigQuery. Based on reviewer data you can see how Google BigQuery stacks up to the competition, check reviews from current & previous users, and find the best fit for your business. Snowflake, Cloudera, Amazon Redshift, and Qubole are the most popular alternatives and competitors to Google BigQuery.
Top Alternatives to Google BigQuery
- Snowflake
- Cloudera
- Amazon Redshift
- Qubole
- Databricks
- IBM Db2
- Microsoft SQL
- MATLAB
- 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 BigQuery: - 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 BigQuery: - Amazon Redshift(132)4.2 out of 5
Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing Business Intelligence (BI) tools.
Categories in common with BigQuery: - Qubole(256)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 BigQuery: - Databricks(20)4.2 out of 5
Making big data simple
Categories in common with BigQuery: - IBM Db2(529)4.0 out of 5Optimized for quick response
IBM® Db2® is the database that offers enterprise-wide solutions handling high-volume workloads. It is optimized to deliver industry-leading performance while lowering costs.
Categories in common with BigQuery: - 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 BigQuery: - MATLAB(558)4.5 out of 5
MATLAB is a programming, modeling and simulation tool developed by MathWorks.
Categories in common with BigQuery: - Qlik Sense(409)4.4 out of 5
Qlik Sense is a revolutionary self-service data visualization and discovery application designed for individuals, groups and organizations.
Categories in common with BigQuery: - Azure SQL Data Warehouse(17)4.4 out of 5
Azure SQL Data Warehouse is a cloud-based Enterprise Data Warehouse (EDW) that leverages Massively Parallel Processing (MPP) to quickly run complex queries across petabytes of data.
Categories in common with BigQuery: - Hadoop HDFS(94)4.3 out of 5
Hadoop HDFS is a distributed, scalable, and portable filesystem written in Java.
Categories in common with BigQuery: - Teradata Vantage(138)4.2 out of 5
The Teradata Database easily and efficiently handles complex data requirements and simplifies management of the data warehouse environment.
Categories in common with BigQuery: - Vertica(95)4.4 out of 5Optimized for quick response
Vertica offers a software-based analytics platform designed to help organizations of all sizes monetize data in real time and at massive scale.
Categories in common with BigQuery: - Panoply(35)4.5 out of 5
Panoply delivers the world’s only unified, ETL-less Smart Data Warehouse, expediting the journey of migrating raw data to analytics using machine learning and natural language processing.
Categories in common with BigQuery: - MariaDB(168)4.4 out of 5
MariaDB is a high performance, open source database that helps the world's busiest websites deliver more content, faster.
Categories in common with BigQuery: - 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 BigQuery: - Alteryx(142)4.5 out of 5
Alteryx provides Strategic Analytics & Agile BI for companies making strategic business decisions using a variety of data sources. Data artisans unite.
Categories in common with BigQuery: - SAP BW/4HANA(15)3.9 out of 5
Streamline processes and support innovations with a single, trusted source for real-time insights. Based on SAP HANA, our next-generation data warehouse solution can help you capitalize on the full value of all your data from SAP applications or third-party solutions, as well as unstructured, geospatial, or Hadoop-based.
Categories in common with BigQuery: - Azure Cosmos DB(44)4.1 out of 5
Azure Cosmos DB provides native support for NoSQL choices, offers multiple well-defined consistency models, guarantees single-digit-millisecond latencies at the 99th percentile, and guarantees high availability with multi-homing capabilities and low latencies anywhere in the world.
Categories in common with BigQuery: - Oracle Exadata Cloud Service(33)4.3 out of 5
Offer a fast, reliable, and cost-effective platform for data warehousing and business intelligence that is easy to scale to meet the complex reporting.
Categories in common with BigQuery:
#1
PC
integrated to AWS and low maintenance from client side.
performance
Reviewers say compared to Google BigQuery, Snowflake is:
Slower to reach roi
More expensive
More usable
#2
EI
The possibility of platform to manage more than 13 millions of message a day in 8 hours. Reliable without lose of information.
Reviewers say compared to Google BigQuery, Cloudera is:
More expensive
#3
NM
The performance of this MPP based multi node cluster at high scale
Reviewers say compared to Google BigQuery, Amazon Redshift is:
Slower to reach roi
More expensive
Better at support
#4
UF
The product was designed keeping a long term use and is at level of Amazon and Google. The customer support was also good. New feature request were accepted and rolled out.
Reviewers say compared to Google BigQuery, Qubole is:
Slower to reach roi
More expensive
Better at support
#5
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 Google BigQuery, Databricks is:
More expensive
#6
UI
It is simple and easy to maintain and command line access makes it better
Reviewers say compared to Google BigQuery, IBM Db2 is:
Slower to reach roi
More expensive
Better at support
#7
IC
It's easy to work with. If you run into any issues, it is easy to find the answers to. Google or their excellent customer service. Easy to manage data. It is extremely easy to install. With...Read more
Reviewers say compared to Google BigQuery, Microsoft SQL is:
Slower to reach roi
More expensive
Better at support
#8
UI
I really enjoyed how straightforward the software is in comparison to other coding languages. Things such as for and while loops seem natural and creating and using a function is very easy. I also...Read more
Reviewers say compared to Google BigQuery, MATLAB is:
Slower to reach roi
More expensive
Better at support
#9
AA
The speed from going from 0 to having a dashboard is a big plus. The scripting language makes it straightforward to do whatever ETL you need to do, and is especially helpful when the systems you...Read more
Reviewers say compared to Google BigQuery, Qlik Sense is:
Slower to reach roi
More expensive
More usable
#10
SP
I work with implementations where Azure SQL DWH is used and the scalability it provides is best in the market
Reviewers say compared to Google BigQuery, Azure SQL Data Warehouse is:
More expensive
Better at support
More usable
#11
TS
Hadoop is a no brainer for big data. The main killer feature is HDFS. Having a redundant WORM file system is amazingly useful. There's a reason Google invented in and Yahoo made it open source....Read more
Reviewers say compared to Google BigQuery, Hadoop HDFS is:
Slower to reach roi
#12
WG
I also like the query history b/c during data analysis, you run a ton of queries and don't yet know which ones are meaningful enough to actually save. I like the community support - when i can't...Read more
Reviewers say compared to Google BigQuery, Teradata Vantage is:
Slower to reach roi
More expensive
Better at support
#13
PK
column orientation: Data is stored in form of columns rather than rows.
Reviewers say compared to Google BigQuery, Vertica is:
Slower to reach roi
More expensive
More usable
#14
UI
Panoply has helped us democratize our data internally. Every part of our startup is using data for decision-making because we have quick access to it.
Reviewers say compared to Google BigQuery, Panoply is:
Easier to set up
Better at support
Easier to do business with
#15
UI
MariaDB is a free professional alternative to MySQL and they
Reviewers say compared to Google BigQuery, MariaDB is:
Slower to reach roi
More usable
Easier to set up
#16
AI
The product is great but for me its the people. Committed to our success, easy to work with, friendly and professional. From the beginning, we had positive interactions with Dremio and that didn't...Read more
Reviewers say compared to Google BigQuery, Dremio is:
Slower to reach roi
Better at support
More usable
#17
SW
Extremely easy to use and learn drag and drop interface. The tool works very well for blending and manipulating multiple data sources
Reviewers say compared to Google BigQuery, Alteryx is:
More expensive
Easier to do business with
Better at support
#18
UO
SAP can effortlessly spit out complicated reports that are built into the software.
Reviewers say compared to Google BigQuery, SAP BW/4HANA is:
More expensive
Better at meeting requirements
#19
UC
I like the scalability. It worked very well in saving our relational data.
Reviewers say compared to Google BigQuery, Azure Cosmos DB is:
More expensive
Better at support
#20
AN
Performance, flexibility, scalability, common platform
Reviewers say compared to Google BigQuery, Oracle Exadata Cloud Service is:
Slower to reach roi
More expensive
Better at meeting requirements
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