Today we were proud to announce that Forrester has positioned GigaSpaces as a strong performer in The Forrester Wave™: Translytical Data Platforms, Q4 2019, following a 24-criterion evaluation of the top 14 translytical data platform providers.
InsightEdge leads across all in-memory data grids, in-memory NoSQL and NewSQL databases, receiving a 5 out of 5 score on criteria including transactions, platform and customer adoption.
“GigaSpaces makes you faster and smarter at the speed and scale of business with strengths in transactions, platform, multi model, customer adoption, development tools, extensibility, and customer support,” said Forrester
In the report GigaSpaces received top scores for:
- Customer experience including customer adoption and customer support
- Rich functionality for transactions, platform architecture and multi model
- Developer agility with extensibility and development tools
Translytical Platforms have the Competitive Edge Technology You’ve Been Looking For
As organizations move to become more data-driven in meeting the demands of their customers, they are increasing their investment in data and analytics processing, AI and machine learning. The data itself and the rapid processing and scaling of that data is a key driver in enabling companies to grasp the opportunities that are presented by digital transformation efforts in an attempt to increase competitive advantage.
The blending of transactional and analytical systems (translytics) continues to add value for enterprises, as platforms that are designed to support translytical workloads are becoming mainstream. Beyond the ability to eliminate distinct transactional and analytical system silos which slows down processing, integration, and timely insights; hybrid systems help organizations run analytics on incoming streaming and hot data, taking advantage of the ‘transaction window,’ which, if done right, can be incredibly lucrative.
In the traditional data processing landscape, historically the OLTP and OLAP database systems are separate and ETL processing moves data in between the two. Organizations cannot respond to business requirements in real-time, and can only provide after-the-fact analysis.
Business decisions are time sensitive. If organizations can’t respond fast enough upon incoming transient data, the decisions they make are directly impacted, resulting in missed opportunities, security threats and overall reducing the likelihood of effective response. The common workflow of data replication across the pipeline was impacting both the storage management and latency challenges, shifting the analytics to be a second class citizen in the pipeline after transactional data manipulation by the main/critical applications.
Translytical data platforms provide a way for enterprises to deliver analysis and intelligence from their transactional and operational data without the need to move it via a traditional or ETL processes.
Translytical data platforms simplify complex architectures by eliminating the need for costly over provisioning, maximizing the value of data by increasing ingestion and processing performance and powering a real-time feedback-loop so that insights can influence business workflows and decisions.
The InsightEdge Advantage
With InsightEdge and it’s in-memory computing core, your data, services and analytics are all collocated in the in-memory data grid and distributed across a horizontally scalable architecture. The in-memory computing paradigm powers the new translytical unified paradigm.
Data can also be stored, accessed and analyzed transparently with a distributed data stack across multiple storage tiers Optane DC Persistent Memory and SSD at in-memory speed.
No Data Movement
The InsightEdge platform contains all of the necessary frameworks for scalable data-driven solutions including SQL, Spark, streaming, machine learning and deep learning. Co-location of business logic and machine learning in the same memory space as the data powers the operationalization of analytics and machine learning with no data movement and network overhead at extreme low latency. The elimination of the disk I/O accelerates mixed heterogeneous workloads.
Any Data Anywhere
Applications leverage faster and smarter insights from advanced analytics machine learning models running on any data source whether structured, unstructured or semi-structured (tables, key-value, objects, documents, text, graph, images, etc.); while seamlessly accessing historical data directly from data lakes such as Hadoop, Amazon S3, Azure Data Lake Storage and more with intelligent, multi-tiered data management.
InsightEdge is a cloud-native, microservice-based architecture for cloud, on-premise, hybrid and multi cloud environments; optimized multi regional (on-premise and cloud) deployments for global enterprises, with synchronous and asynchronous duplication using intelligent filters, aggregation and compression methods including encryption for GDPR and privacy regulation compliance are supported.
The platform supports Kubernetes and is one of the selected 20 vendors worldwide to be part of the RedHat EAP (Early Adopter Program) which has certified InsightEdge as an OpenShift operator as part of OpenShift 4.0 launch
Extreme Performance and Scale
InsightEdge architecture creates an independent unit of compute and memory that on one hand can easily scale and on the other hand reduces the data movement and network overhead for extreme performance. Elastic scalability allows for peaks to be handled seamlessly without affecting the performance of the system.
A great example is from our customer PriceRunner, a leading shopping comparison site. When visitor traffic was X20 times higher at Black Friday peak as shown below in green, in parallel with 100 million price updates, response time for the 95th percentile of the product page endpoint rose from 5 milliseconds to 8 milliseconds.
InsightEdge has out-of-the box support for high availability and disaster recovery and is designed for zero data loss and downtime with.
- Optimized Data Replication
- Automatic Self-Healing
- Multi-Region Deployment
- Disaster Recovery
Our enterprise customers claim zero downtime and that GigaSpaces is the most stable solution their software stack.
Final Thoughts: Future Adoption of Translytical Data Platforms
Data is the most precious resource for enterprises today.
Translytical data platforms can redefine that way enterprises are leveraging their data as analytics become an integral part of the business process powering real-time data-driven decision making processes. This is why hybrid transactional and analytical processing database workloads are set to grow significantly for new deployments and applications reliant on recommendations, personalized content, personalized offers, predictive maintenance, real-time risk analysis, real-time fraud analysis and more.
Forrester has strongly positioned GigaSpaces in their Translytical Data Platform Report. Click here to learn how GigaSpaces compares against other translytical data platforms.