We are Equalum consultants for our clients. We sell it as a service and we're selling it as a product. We are using the SaaS version but the predominant request from clients is to have it on-premises. That's more because of political reasons, as the public cloud is not really trusted too much.
Senior Software Engineer at a retailer with 201-500 employees
Real User
2021-03-14T06:54:00Z
Mar 14, 2021
We use it for micro-batching of Kafka topics, which is like small, little bits of clickstream data. For almost all our use cases, the target of the data goes into our data warehousing solution, Snowflake. We also take large XML files from multiple parties, transform them, and put them into our Snowflake.
Managing Director at a consultancy with 11-50 employees
Reseller
2021-03-08T06:56:00Z
Mar 8, 2021
Equalum is used to take legacy data, siloed data and information in the enterprise, and integrate it into a consolidated database that is then used, for the most part, for data transaction, whether it's an actual transaction within the enterprise itself, or a BI dashboard. BI dashboards and analytics are a big area, but overall the main use case is for large data integration across disparate data sources. The way it's deployed is a combination of on-premises and cloud. It's mainly on-prem, but in Japan and Korea, the adoption of cloud is definitely nowhere near the same as in North America or even Europe. So most of it is deployed on-prem, but there is some hybrid connectivity, in terms of targets being in the cloud and legacy sources being on-prem. Next-gen infrastructure is hosted in the cloud, either by a global partner like AWS, or by their own data infrastructure, in more of a hosted scenario. The other model that we're looking at with a couple of partners is a managed service model, whereby Equalum is hosted in the partner's cloud and they provide multi-tenancy for their mainly SME customers.
Database Administrator at a energy/utilities company with 1,001-5,000 employees
Real User
2021-02-24T21:43:00Z
Feb 24, 2021
We use it for replication. We have databases and SQL Server. There is some data that needs to go to Oracle for the application team because the application is connected to Oracle Databases, but the back-end application is connected to SQL Server. Then, we create workflows. where SQL Server is the source, Oracle is the target, and all the tables in SQL Server replicate to Oracle. We have 59 flows for five Databases. These go into production, development, and staging multiplied by three. This is how many flows that we have.
Equalum is a fully-managed, end-to-end data integration and real-time data streaming platform, powered by industry-leading change data capture (CDC) tech and modern data transformation capabilities (streaming ETL and ELT). Equalum's enterprise-grade platform features intuitive UI allowing you to build robust, real-time data pipelines in minutes.
Equalum is used primarily for CDC purposes in real-time in the cloud environment.
We are Equalum consultants for our clients. We sell it as a service and we're selling it as a product. We are using the SaaS version but the predominant request from clients is to have it on-premises. That's more because of political reasons, as the public cloud is not really trusted too much.
We use it for micro-batching of Kafka topics, which is like small, little bits of clickstream data. For almost all our use cases, the target of the data goes into our data warehousing solution, Snowflake. We also take large XML files from multiple parties, transform them, and put them into our Snowflake.
We were looking for some ETL tools.
* Change data capture * Data streaming Right now, it is on-premises. We will also be having the solution on the cloud.
Equalum is used to take legacy data, siloed data and information in the enterprise, and integrate it into a consolidated database that is then used, for the most part, for data transaction, whether it's an actual transaction within the enterprise itself, or a BI dashboard. BI dashboards and analytics are a big area, but overall the main use case is for large data integration across disparate data sources. The way it's deployed is a combination of on-premises and cloud. It's mainly on-prem, but in Japan and Korea, the adoption of cloud is definitely nowhere near the same as in North America or even Europe. So most of it is deployed on-prem, but there is some hybrid connectivity, in terms of targets being in the cloud and legacy sources being on-prem. Next-gen infrastructure is hosted in the cloud, either by a global partner like AWS, or by their own data infrastructure, in more of a hosted scenario. The other model that we're looking at with a couple of partners is a managed service model, whereby Equalum is hosted in the partner's cloud and they provide multi-tenancy for their mainly SME customers.
We use it for replication. We have databases and SQL Server. There is some data that needs to go to Oracle for the application team because the application is connected to Oracle Databases, but the back-end application is connected to SQL Server. Then, we create workflows. where SQL Server is the source, Oracle is the target, and all the tables in SQL Server replicate to Oracle. We have 59 flows for five Databases. These go into production, development, and staging multiplied by three. This is how many flows that we have.