SnapLogic delivers a versatile and scalable data integration solution that enables you to connect and load data from on-premises-based or cloud-based sources. Use either ETL or ELT data load patterns, and after you’ve enriched your data in a cloud data warehouse, connect to all of your applications with reverse ETL. Eliminate data silos and stop costly and complex integration tool sprawl.
Not only does SnapLogic deliver an agile, cloud-native integration-platform-as-a-service (iPaaS) for data platforms, we are the pioneers of graphical “drag-and-snap,” AI-augmented data pipeline design assistance. Our AI-driven next-step recommendation engine technology, we call Iris, is backed by over six years and petabytes of metadata. Create pipelines 40% to 60% faster compared to other visual approaches, and even faster compared to manual coding. Your integration environment will scale much more efficiently.
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Based on our record, Apache Cassandra seems to be more popular. It has been mentiond 42 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.
Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers without a single point of failure. - Source: dev.to / about 14 hours ago
Distributed storage Distributed storage systems like Cassandra, DynamoDB, and Voldemort also use consistent hashing. In these systems, data is partitioned across many servers. Consistent hashing is used to map data to the servers that store the data. When new servers are added or removed, consistent hashing minimizes the amount of data that needs to be remapped to different servers. - Source: dev.to / about 2 months ago
On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra. - Source: dev.to / 3 months ago
HBase and Cassandra: Both cater to non-structured Big Data. Cassandra is geared towards scenarios requiring high availability with eventual consistency, while HBase offers strong consistency and is better suited for read-heavy applications where data consistency is paramount. - Source: dev.to / 4 months ago
Dear r/python, we are happy to present you with our first open-source project. We have managed to implement a new driver for Python that works with Apache Cassandra, ScyllaDB and AWS Keyspaces. Source: 9 months ago
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Striim - Striim provides an end-to-end, real-time data integration and streaming analytics platform.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
HVR - Your data. Where you need it. HVR is the leading independent real-time data replication solution that offers efficient data integration for cloud and more.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Celigo Data Loader - Celigo is an advanced platform that comes with exclusive service data loading in a smooth and effective way.