Find out in this report how the two Streaming Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
Confluent is an enterprise-ready, full-scale streaming platform that enhances Apache Kafka.
Confluent has integrated cutting-edge features that are designed to enhance these tasks:
Confluent is a more complete distribution of Kafka in that it enhances the integration possibilities of Kafka by introducing tools for managing and optimizing Kafka clusters while providing methods for making sure the streams are secure. Confluent supports publish-and-subscribe as well as the storing and processing of data within the streams. Kafka is easier to operate and build thanks to Confluent.
Confluent's software is available in three different varieties:
Confluent Advantage Features
Confluent has many valuable key features. Some of the most useful ones include:
Reviews from Real Users
Confluent stands out among its competitors for a number of reasons. Two major ones are its robust enterprise support and its open source option. PeerSpot users take note of the advantages of these features in their reviews:
Ravi B., a solutions architect at a tech services company, writes of the solution, “KSQL is a valuable feature, as is the Kafka Connect framework for connecting to the various source systems where you need not write the code. We get great support from Confluent because we're using the enterprise version and whenever there's a problem, they support us with fine-tuning and finding the root cause.”
Amit S., an IT consultant, notes, “The biggest benefit is that it is open source. You have the flexibility of opting or not opting for enterprise support, even though the tool itself is open source.” He adds, “The second benefit is it's very modern and built on Java and Scala. You can extend the features very well, and it doesn't take a lot of effort to do so.”
JumpMind SymmetricDS is a powerful data replication software that provides synchronization software solutions for both databases and filesystems. This software is platform-independent and web-enabled as well as database agnostic. JumpMind SymmetricDS creates prompt bi-directional data replication while scaling to a large amount of nodes and working in close to real time across both WAN and LAN networks. This allows companies to integrate data using the feature for continuous change data capture.
This data replication software allows companies with limited network bandwidth or bad connectivity to benefit from excellent cloud conditions. The greatest benefit of JumpMind SymmetricDS is its vast integration across databases, streaming platforms, and data warehouses. Some of the relational databases where this data replication software can be used include Oracle, PostgreSQL, MySQL, Sybase, Informix, Ingres, Tiber, and VoltDB. NoSQL databases like MongoDB, Apache Cassandra, and Azure Cosmos are also compatible with the JumpMind SymmetricDS data replication software. The data warehouses that are compatible with this software include Teradata, SAP HANA, Azure-SQL server by Microsoft, BigQuery, Amazon Redshift, Pivotal Greenplum, and Snowflake data warehouse. Providing coverage of so many databases and warehouses allows broad outreach of the JumpMind SymmetricDS across many different companies and users.
JumpMind SymmetricDS offers many valuable features, including:
Other features include tools for conflict detection and resolution, embedding and extending, filtering, subsetting, and transforming.
The benefits of using JumpMind SymmetricDS include:
According to the CEO at a non-profit, JumpMind SymmetricsDS is fully featured and is also very easy to use and install. He finds it to be self-explanatory to use and says that their support is very good.
We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.