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SAP HANA VS Google Cloud Bigtable

Compare SAP HANA VS Google Cloud Bigtable and see what are their differences

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  2. » Videos
  3. » Reviews
  4. » Alternatives

SAP HANA logo SAP HANA

SAP HANA is an in-memory, column-oriented, relational database management system.

Google Cloud Bigtable logo Google Cloud Bigtable

A high performance NoSQL database service for large analytical and operational workloads.
  • SAP HANA Landing page
    Landing page //
    2023-09-17
  • Google Cloud Bigtable Landing page
    Landing page //
    2023-09-12

SAP HANA videos

+ Add

SAP S/4HANA In 2 Minutes: Why SAP HANA?

More videos:

  • Demo - End-to-End SAP HANA Cloud Platform Demo
  • Review - SAP HANA Academy - XS Advanced: Code Review - myapp1

Google Cloud Bigtable videos

+ Add

Scalability Meetup @ Whitepages - Google Cloud BigTable

Category Popularity

0-100% (relative to SAP HANA and Google Cloud Bigtable)

SAP HANA

Google Cloud Bigtable

Databases
82 82%
Databases
18% 18
Relational Databases
90 90%
Relational Databases
10% 10
NoSQL Databases
74 74%
NoSQL Databases
26% 26
Tool
100 100%
Tool
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare SAP HANA and Google Cloud Bigtable

SAP HANA Reviews

16 Top Big Data Analytics Tools You Should Know About
SAP High-Performance ANalytical Appliance (SAP HANA) is an in-memory database developed by SAP. Its primary function as a database server is to store and retrieve data. It is used to analyze the large datasets on a real-time basis that are present entirely in its memory.
Source: www.analytixlabs.co.in

Google Cloud Bigtable Reviews

7 Best NoSQL APIs
When businesses need to scale, they want to do so with limited downtime. The Google Cloud Bigtable provides horizontal Scaling in a matter of seconds without any downtime. To scale, cluster nodes are quickly added to increase your overall Bigtable cluster. Google even provides the option of scaling out only for a matter of hours, to handle a large load of requests. Once the...
Source: www.programmableweb.com

Social recommendations and mentions

Based on our record, Google Cloud Bigtable seems to be more popular. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

SAP HANA mentions (0)

We have not tracked any mentions of SAP HANA yet. Tracking of SAP HANA recommendations started around Mar 2021.

Google Cloud Bigtable mentions (6)

  • Vaultree and AlloyDB: the world's first Fully Homomorphic and Searchable Cloud Encryption Solution
    In my opinion, Google has built some fantastic database services like Bigtable and Spanner, which literally changed the industry for good, and I am eager to see how they will build upon this new service. With AlloyDB's disaggregated architecture, the dystopian world where I only pay for SQL databases per query and the stored data on GCP seems closer than ever. - Source: dev.to / over 1 year ago
  • Google Cloud Reference
    Cloud Bigtable: Petabyte-scale, low-latency, non-relational 🔗Link 🔗Link. - Source: dev.to / over 1 year ago
  • A Graph-Based Firebase
    > These triples say that the Layer with id 1 has a fontSize 20 and backgroundColor blue. Since they are different rows, there’s no conflict. This sounds a lot like Bigtable (https://cloud.google.com/bigtable), which also does last-write-wins conflict resolution layer. So this is adding a GraphQL + frontend layer to it? - Source: Hacker News / over 1 year ago
  • The 4 Types of NoSQL Databases You Need to Know
    Google's BigTable paper inspired this database design, and it is capable of handling large data loads on distributed machines. In addition, column-oriented databases provide efficient compression and high performance with aggregated queries such as sum, average, and minimum. - Source: dev.to / almost 2 years ago
  • Can someone help me understand why data batch processing and data streaming processing pose such different challenges in data management?
    Because of these and other differences, the tools used are also different. With batch processing, data might be read from large files, processed, and stored in an OLTP (Online Transaction Processing) database (like MySQL) or OLAP (Online Analytical Processing) system (like Google BigQuery). But these would not be good solutions for streaming applications, because they are not optimized for high throughput on a lot... Source: over 2 years ago
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What are some alternatives?

When comparing SAP HANA and Google Cloud Bigtable, you can also consider the following products

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Amazon DynamoDB - Amazon DynamoDB is a fully managed NoSQL database service offered by Amazon.

MySQL - The world's most popular open source database

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

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