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SAP BW VS Google Cloud Spanner

Compare SAP BW VS Google Cloud Spanner and see what are their differences

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SAP BW logo SAP BW

SAP BW Tutorial - SAP Business Warehouse (BW) integrates data from different sources, transforms and consolidates the data, does data cleansing, and storing of data as well. It a

Google Cloud Spanner logo Google Cloud Spanner

Google Cloud Spanner is a horizontally scalable, globally consistent, relational database service.
  • SAP BW Landing page
    Landing page //
    2023-09-24
  • Google Cloud Spanner Landing page
    Landing page //
    2023-09-17

SAP BW features and specs

  • Data Integration
    SAP BW provides robust data integration capabilities, allowing businesses to consolidate data from various sources into a single repository for comprehensive analysis.
  • Performance Optimization
    It offers performance optimization tools and techniques such as aggregates, indexes, and partitions, which help improve query performance and data retrieval times.
  • Scalability
    SAP BW is designed to handle large volumes of data, making it scalable for growing businesses and enterprises with extensive data analysis needs.
  • Comprehensive Reporting
    The system supports complex reporting requirements with a wide range of reporting tools and functionalities, enabling detailed analysis and insights.
  • Integration with SAP Ecosystem
    SAP BW integrates seamlessly with other SAP products, enhancing its functionality and providing a cohesive ERP solution for businesses already using SAP systems.

Possible disadvantages of SAP BW

  • Complexity
    The system can be complex to set up and manage, often requiring specialized knowledge and experience, which can be a barrier for smaller organizations.
  • Cost
    SAP BW can be expensive to implement and maintain, with costs associated with licensing, support, and the need for skilled personnel.
  • Steep Learning Curve
    Users may face a steep learning curve due to the complexity and depth of the system, necessitating training and time to become proficient.
  • Maintenance and Upgrades
    Regular maintenance and updates are required to keep the system running optimally, which can be resource-intensive and time-consuming.
  • Customization Limitations
    While offering extensive functionalities, customization may be limited or require additional resources and time to tailor the system to specific business needs.

Google Cloud Spanner features and specs

  • Scalability
    Google Cloud Spanner can automatically scale horizontally, providing robust support for large-scale applications. It can handle petabytes of data across millions of instances with ease.
  • Global Distribution
    Spanner enables globally distributed databases with strong consistency and low-latency reads, allowing applications to deliver seamless performance across the globe.
  • Strong Consistency
    Unlike many other distributed databases, Cloud Spanner offers strong transactional consistency, using Google's TrueTime API to ensure precise timestamp ordering that supports ACID transactions.
  • Fully Managed
    Cloud Spanner is a fully managed service, which means Google handles maintenance tasks such as updates, scaling, and provisioning, reducing the operational overhead for users.
  • SQL Support
    It provides support for SQL queries, making it easier for developers and teams familiar with SQL to integrate and manage their data workloads without needing to learn new paradigms.
  • High Availability
    Cloud Spanner is designed for high availability, with built-in redundancy and failover capabilities that ensure continuous operation even in the face of regional outages.

Possible disadvantages of Google Cloud Spanner

  • Cost
    Google Cloud Spanner can be expensive compared to other database solutions, especially for smaller applications or startups with limited budgets.
  • Limited Ecosystem
    While growing, Spanner's ecosystem is not as mature as more established relational or NoSQL databases, which might lead to fewer third-party tools and integrations.
  • Complexity in Migration
    Migrating existing applications and data to Cloud Spanner can be complex and time-consuming, particularly for those coming from non-relational database systems.
  • Limited NoSQL Features
    For applications that require specific NoSQL features, such as unstructured data handling and schema flexibility, Cloud Spanner may not be the best fit compared to other NoSQL databases.
  • Regional Lock-in
    Although it offers global distribution, data residency and compliance requirements might limit some organizations to specific regions, which can affect the strategic deployment of an application.

SAP BW videos

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Sap Bw Training Hq Review

More videos:

  • Review - SAP BW/4HANA Introduction to Beginners | ZaranTech

Google Cloud Spanner videos

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Build with Google Cloud Spanner

Category Popularity

0-100% (relative to SAP BW and Google Cloud Spanner)

SAP BW

Google Cloud Spanner

Databases
27 27%
Databases
73% 73
Big Data
100 100%
Big Data
0% 0
Relational Databases
30 30%
Relational Databases
70% 70
NoSQL Databases
0 0%
NoSQL Databases
100% 100

User comments

Share your experience with using SAP BW and Google Cloud Spanner. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Google Cloud Spanner seems to be more popular. It has been mentiond 17 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 BW mentions (0)

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

Google Cloud Spanner mentions (17)

  • Golden Ticket To Explore Google Cloud
    Multiregion is possible in Google Cloud using Cloud Spanner, which allows you to replicate the database not only in multiple zones but also in multiple regions as defined in the instance configuration. The replicas allow you to read data with low latency from multiple locations that are close to or within the region in the configuration. - Source: dev.to / about 2 years ago
  • /u/ryuuthecat wonders how a feature of google maps works. Engineer who programmed the feature responds with the answer
    Basically everything I touch is in-house, but a majority of it is available publicly. For instance: https://cloud.google.com/spanner/. Source: almost 3 years ago
  • How Do Companies (Like Evernote) Handle So Many Notes?
    An application that needs to handle a lot of data can use a distributed database like Cloud Spanner. Unlimited scale and you don't have to split your database into multiple tables. Source: almost 3 years ago
  • One of my favorite topics in DE is CAP Theorem. Has anyone managed to accomplish all 3 at once yet or is it truly impossible like the theorem states.
    Look at the architecture and performance of Google's Cloud Spanner, a CP system with 99.999% availability... https://cloud.google.com/spanner. Source: almost 3 years ago
  • 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 / almost 3 years ago
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What are some alternatives?

When comparing SAP BW and Google Cloud Spanner, you can also consider the following products

Apache Hive - Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.

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

Greenplum Database - Greenplum Database is an open source parallel data warehousing platform.

Oracle DBaaS - See how Oracle Database 12c enables businesses to plug into the cloud and power the real-time enterprise.

Teradata Database - Teradata Database is a high performance analytical database.

MySQL - The world's most popular open source database

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