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Cassandra vs SAP HANA: Which Data Services Fit

Cassandra vs SAP HANA: Which Data Solution Fits Your Needs?

Explore the key differences between Cassandra and SAP HANA. Learn which platform suits your business needs, whether for distributed data handling or real-time analytics.

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Cassandra vs SAP HANA: A Comprehensive Insight into the Data Powerhouse

Apache Cassandra is nothing but an open-source, NoSQL database management system, wide-column store, free distributed that is designed in a way to handle and manage large amounts of data across numerous commodity servers that provides high availability with no single point of failure. Basically, developers use Cassandra Query Language (CQL) for communicating with the Apache cassandra database and the most simple and easy way to communicate with the Apache cassandra is using the CQL shell, cqlsh. Using cqlsh, developers can create tables and keyspaces, insert and query tables and much more.

Cassandra is a wide-column store that is based on DynamoDB and BigTable. On the other hand, SAP HANA holds more column-related data, along with an in-memory data store that can go very well with the cloud service or appliance. The difference between Cassandra and SAP HANA is that the primary database model of SAP HANA is a wide column store, whereas for Cassandra it is a relational DBMS. You need to be very clear on what platform you are going to choose. In this blog, we will get to know more about the differences between cassandra vs sap hana and their features.

Cassandra: The Casanova of Data Management

Cassandra: The Casanova of Data Management

Apache Cassandra is nothing but an open-source and free, wide-column distributed platform with a NoSQL database management system. It can handle a large quantity of data across a number of commodity servers without any point of failure.It is also a scalable, high-performing, and distributed database with a more sophisticated and better design compared to its predecessors. Let us first understand what a NoSQL database does. You can manage a large amount of data without risking much.

The Apache Cassandra database is the optimal option for building a more scalable and available product without sacrificing performance. Apache Cassandra offers a number of benefits. Fault tolerance and linear scalability on various commodities of cloud infrastructure and hardware are important when you want to replicate across a number of data centers to provide more latent, first-class solutions to all your users.

You would also be able to enjoy a great number of regional outages. The NoSQL database is expected to feature the following factors: These factors could include design simplicity, availability control, and horizontal scaling. NoSQL databases utilize a greater variety of data structures compared to all other databases. This would result in several operations within NoSQL being performed more quickly. The suitability of the provided NoSQL database depends directly on the problem it must be solving.

Showcasing the Proven Expertise in the Industry

Various companies such as CERN, eBay, Constant Contact, Hulu, GoDaddy, Netflix, and other 1500 companies with active and large data sets have leveraged Cassandra. Cassandra has the ability to outperform any popular NoSQL alternatives with respect to real-time apps. It has significant potential to perform in an exceptional manner. When there are a number of nodes to handle fault tolerance, data is automatically replicated. When companies want to deal with a number of data centers, they can handle replication. Moreover, companies can replace your failed nodes without any downtime. You do not have a single failure point. There are no network bottlenecks present.

There are a number of identical nodes. The largest known production deployments of this distribution include: 75,000 nodes storing more than 10 PB of data at Apple; above 2500 nodes and 420 TB at Netflix, with over 1 trillion requests being made in a day; the famous Chinese search engine Easou uses 270 nodes with more than 800 million requests daily; nearly 100 nodes at eBay carry 250 TB. Generally, we can use Cassandra to build apps that cannot let you lose your data.

Even when the entire data center is down, this happens. When you decide whether you want asynchronous or synchronous replication for each update, companies can choose Read Repair or Hinted Handoff. Although it is possible to read and write throughput, it increases linearly with new machines. No kind of interruption or downtime concerning your applications. Cassandra will support all types of services and contracts that are available from any third-party services.

SAP HANA: The Super Static Data Platform Solution

SAP HANA: The Super Static Data Platform Solution

When you want to run your business data platform meant for any intelligent enterprise, any cloud, or on-premise when you are supposed to act on with live intelligence, handle agile modernization as well as enable cost-efficient scaling. It's time for companies to harness the dataand accelerate any trusted outcome-driven innovation by developing more live solutions to address real-world actions and decisions based on a single dataset.

It's time for you to fully utilize the potential of data, resulting in more reliable and outcome-driven outcomes as they develop more dynamic and sophisticated solutions. Moreover, companies can easily support next-gen transactions and analytical processes with a wider set of advanced-level analytics.

Developers can support a wide range of next-gen analytical and transactional data with the cloud, hybrid, and multiple cloud environments. The primary reasons are cloud, on-premise, and hybrid deployments. Your data consists of all types of security and future-ready memory platforms. There might be other intelligent processes also that may want much better processing of data. You will have advanced analytics, and it will bring together both OLTP and OLAP in one single copy of data.

Companies can modernize any data center with the aid of flexible solutions for SAP HANA deployment, which modernizes any data center. This can go well with any private or public cloud and moreover, companies get access to customize any data center with more than 1000+ certified configurations of appliances from as many as 13 vendors.

Real-time results of SAP HANA and its Benefits

Real-time results of SAP HANA and its Benefits

SAP HANA is nothing but another business data platform that can process a number of analytics and transactions at a particular time while using any kind of data. This can go well with any kind of built-in analytics. You can utilize multi-model engines for data processing when creating next-generation apps for your intelligent business. You should also focus on reducing complexity. It's time for you to streamline all your platforms to effectively handle trans-analytic applications.

Leveraging SAP HANA allows you to analyze live data, supporting any real-time business. This would also reduce data redundancy, hardware and footprint, as well as IT operations. You have to develop Next-Generation Applications. When building any next-generation applications, make use of analytical processing capabilities and hybrid transactional processes. While transforming your database management, you can simplify all of your operations with the help of a single copy of enterprise data and a secure modern data platform. Furthermore, it enables the processing of data in memory by enabling data visualization, integration, and replication to effectively process transactions and analytics data across diverse locations. Use advanced data processing engines to manage your text, business, graph, and spatial data, as well as series data.

Why Pattem Digital for Cassandra?

Cassandra offers a lot of benefits and advantages like scalability, peer to peer architecture, fault tolerance, great analytics possibilities, and another important point is that it is an open source NoSQL database. It is mainly used by most companies to store data for applications which requires fast read and write performance and also, it can handle large amounts of distributed data without compromising on performance and availability. Though it may be to choose between Cassandra and SAP HANA, not with Pattem Digital. We make things a little more simple for you by making your Cassandra requirements very simple with our all-in-one solution. Understand the most important differences between Cassandra and SAP HANA with us.

Being the prime Apache Cassandra development company, we cover full support right from documentation to maintenance for seamless onboarding. Join the ranks of our committed customers who believe in our unshaken resolve toward their success. Let us guide you through the maze and make the right choices for your business. We maintain a combined team of expertise professionals who help companies to make it more effective in the industry. We also help them by providing them consistent support to make it more effective in the long run. We understand and analyze the market completely and deliver our clients with the best feature-rich applications in the industry.

A Guide to Building Cassandra & SAP HANA Teams for Projects

Learn how to form specialized teams for Cassandra and SAP HANA initiatives. Database architects, backend developers, data analysts, and DevOps specialists collaborate to deliver scalable, high-performance, and real-time data solutions that align with enterprise goals and accelerate project success.

Staff Augmentation

Enhance your data projects with experts who integrate seamlessly to accelerate database design and performance.

Build Operate Transfer

Build a data team, manage operations efficiently, and transfer knowledge to your organization for platform success.

Offshore Development

Offshore development centers provide Cassandra and SAP HANA experts for cost-effective data solutions.

Product Development

Product outsource development delivers database solutions, from architecture design and ETL pipelines to deployment.

Managed Services

Managed services assure monitoring, tuning, and maintenance of your data platforms for reliability and security.

Global Capability Centre

Develops expertise in Cassandra and SAP HANA through teams focused on efficiency and enterprise-grade solutions.

Capabilities of Data Platform Services :

  • Design and maintain scalable Cassandra and SAP HANA databases.

  • Ensure secure, reliable, and high-performance enterprise data solutions.

  • Ensure secure, reliable, and high-performance enterprise data solutions.

  • Implement real-time analytics, ETL pipelines, and high-volume data processing.

Build expert Cassandra and SAP HANA teams to accelerate data projects and enhance performance.

Tech Industries

Industrial Applications

Industrial operations use powerful data platforms such as Cassandra and SAP HANA to handle large-scale processes in manufacturing, energy, logistics, and supply chains. With real-time analytics, distributed databases, and in-memory processing, companies can manage workflows, anticipate maintenance needs, and track performance across multiple locations.

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Common Queries

Frequently Asked Questions

Can't find your question?

Get answers to key questions about choosing, implementing, and optimizing Cassandra and SAP HANA for your enterprise data strategy.

SAP HANA services excel at in-memory analytics for instant insights. Pairing HANA services with Conversion Rate Optimization services enables businesses to quickly act on user behavior, optimize processes, and improve digital performance across web or eCommerce platforms.

Cassandra services excel in horizontal scaling, distributing data across multiple regions to maintain availability. SAP HANA services can integrate with Google App Engine Services for elastic cloud deployment. Both ensure global reach, but Cassandra focuses on high availability, while HANA prioritizes high-speed analytics.

Cassandra services are optimized for distributed, fault-tolerant storage across multiple nodes, ideal for real-time transactional data. SAP HANA services leverage in-memory computing to process complex analytical queries extremely fast. Cassandra can integrate with Azure Cloud Services services for scalability, while HANA focuses on high-speed analytics.

Cassandra services paired with Deep Learning services enable real-time predictive insights using historical and streaming data. HANA services support AI model deployment within enterprise systems, allowing organizations to predict trends, optimize inventory, and improve resource allocation efficiently.

SAP HANA services, when combined with Brand Management services, provide end-to-end analytics, operational insights, and enterprise reporting. Cassandra services are better suited for distributed applications with high write loads, offering flexibility for large-scale operational workloads across regions.

Cassandra services and SAP HANA services together empower a leading software product development company to create hybrid solutions. Cassandra manages high-volume transactional data, while HANA provides in-memory analytics. Integrating both ensures scalable performance, rapid insights, and enterprise-grade reliability for mission-critical business operations.

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