Coeus Data Warehouse Management Alternatives & Competitors
(2)3.3 out of 5
Looking for alternatives to Coeus Data Warehouse Management? 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 Coeus Data Warehouse Management. Based on reviewer data you can see how Coeus Data Warehouse Management stacks up to the competition, check reviews from current & previous users, and find the best fit for your business. IBM Db2, Snowflake, Google BigQuery, and Amazon Redshift are the most popular alternatives and competitors to Coeus Data Warehouse Management.
Top Alternatives to Coeus Data Warehouse Management
- IBM Db2
- Snowflake
- Google BigQuery
- Amazon Redshift
- Teradata Vantage
- Vertica
- IBM Netezza Performance Server
- SAP Business Warehouse
- 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 Coeus Data Warehouse Management: - 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 Coeus Data Warehouse Management: - 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 Coeus Data Warehouse Management: - 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 Coeus Data Warehouse Management: - 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 Coeus Data Warehouse Management: - Vertica(96)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 Coeus Data Warehouse Management: - IBM Netezza Performance Server(59)4.0 out of 5Optimized for quick response
IBM Netezza Performance Server is a purpose-built, standards-based data warehouse and analytics appliance that integrates database, server, storage and analytics into an easy-to-manage system. It is designed for high-speed analysis of big data volumes, scaling into the petabytes.
Categories in common with Coeus Data Warehouse Management: - SAP Business Warehouse(55)3.7 out of 5
SAP Business Warehouse is a solution to help you manage business intelligence with business planning and analytical services, reporting, query, and more.
Categories in common with Coeus Data Warehouse Management: - Pivotal Greenplum(53)4.3 out of 5
Pivotal Greenplum provides comprehensive and integrated analytics on multi-structured data. Powered by one of the world's most advanced cost-based query optimizers, Pivotal Greenplum delivers unmatched analytical query performance on massive volumes of data.
Categories in common with Coeus Data Warehouse Management: - Hive(41)4.2 out of 5
Hive provides a mechanism to project structure onto this data and query the data using a SQL-like language called HiveQL. At the same time this language also allows traditional map/reduce programmers to plug in their custom mappers and reducers when it is inconvenient or inefficient to express this logic in HiveQL.
Categories in common with Coeus Data Warehouse Management: - 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 Coeus Data Warehouse Management: - Rubrik(36)4.6 out of 5Optimized for quick response
Rubrik offers live data access for recovery and application development by fusing enterprise data management with web-scale IT.
Categories in common with Coeus Data Warehouse Management: - 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 Coeus Data Warehouse Management: - ZAP Data Hub(33)4.3 out of 5Optimized for quick response
With customers and staff around the globe, ZAP provides technology that supports a customer’s journey from data collection and manipulation to the presentation of best practice analytics, allowing organizations to better manage their business at a time when data is both exploding and becoming ever increasingly important.
Categories in common with Coeus Data Warehouse Management: - Druid(29)4.2 out of 5
Open source streaming data store for interactive analytics at scale.
Categories in common with Coeus Data Warehouse Management: - SQL Server 2019(24)4.5 out of 5
Parallel Data Warehouse offers scalability to hundreds of terabytes and high performance through a massively parallel processing architecture.
Categories in common with Coeus Data Warehouse Management: - 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 Coeus Data Warehouse Management: - IBM InfoSphere Information Server(21)4.0 out of 5Optimized for quick response
IBM InfoSphere Information Server is an advanced data integration platform that enables you to cleanse, monitor, transform and deliver data. The scalable solution provides massively parallel processing capabilities to help you manage small to very large data volumes. It helps you deliver trusted information to your key business initiatives such as big data and analytics, data warehouse modernization and master data management.
Categories in common with Coeus Data Warehouse Management: - WhereScape RED(23)4.0 out of 5
Design, develop, deploy and operate data infrastructure fast with WhereScape automation.
Categories in common with Coeus Data Warehouse Management: - Dremio(21)4.8 out of 5Optimized for quick response
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 Coeus Data Warehouse Management:
#1
VS
The interconnectivity with python and the ease of use
#2
AC
We are able to store semi-structured (chat messages) data at scale and able to parse them out easily as well on query. At Drift. The data team also looks to store the raw data before we transform...Read more
#3
UC
Query Performance is good and it’s completely managed by google. It’s highly scalable and can store large amount of data without effecting query performance. It’s easy to learn as it uses sql like...Read more
#4
KG
The features of Redshift which stand out amongst other cloud data warehouses are Automatic Workload Management (which allows to segregate your workloads, like ETL and Reporting and allocate a part...Read more
#5
UC
It has the analytical engine close to the data which helps in effective and faster business models and coded deployment. -It gains visibility into financial transactions, business operations,...Read more
#6
AC
Simplicity while using, stability. EON mode is something very useful especially when talking big data.
#7
AI
The FPGA feature which makes the design unique and special compared to other warehouse tools like Teradata
#8
UC
The software has a wide and powerful range of functions, allowing near complete management of inventory from one software.
#9
AG
The tool has great features which are fairly easy to use and learn. Very effective tool
#10
AR
- Easy to use interface
- multiple clients (CLIs)
- easy to debug issues with the help of fully descriptive logs
- constantly the product is being improved to meet all the DB developer...Read more
#11
PD
the fast performance of the system and the integration with logic and analytics
#12
CF
Rubrik works great to back up a large selection of subjects. It's able to match all our tasks well and it is very simple to handle, as it provides a really quick break-fix. Also, it can handle all...Read more
#13
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.
#14
AL
Its easy to use
Development time is reduced compared to using our older tools
#15
AI
The ability to power realtime dashboards well, and ofcourse that its open source (so I can skip messy accounting approvals)
#16
AF
Microsoft Azure is an effective way to modernize your data warehouse. Businesses use Azure SQL Data Warehouse to create net-new data warehouses in the cloud, extend their existing enterprise data...Read more
#17
EI
The possibility of platform to manage more than 13 millions of message a day in 8 hours. Reliable without lose of information.
#18
AE
Single Repository across all the products in the suite which helps us collect repository from various modules and use it for our data driven decision.
#19
UI
Creation of facts and dimensions is faster and can be reproduced easily with other existing facts and dim. Easy to implement change tracking with wherescape
#20
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
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