Meet Equalum
Streaming Data Integration | Streaming ETL | Data Ops | CDC Based Replication
We are changing the way organizations collect, transform, manipulate and synchronize data at infinite speed
We are changing the way organizations collect, transform, manipulate and synchronize data at infinite speed
Business leaders in data-intensive organizations are increasingly expected to unify fragmented data from across silos to power decision-making in real-time. But traditional changed data capture (CDC) tools and legacy ETL processes, are straining under a constantly-growing volume and velocity of data. And in-house implementations of powerful open-source frameworks are complex and costly to implement and maintain. Information technology leaders need a new approach.
Equalum is relied upon by enterprises across industries to seamlessly stream data to operational, real-time analytics and machine learning environments. Built for scalability and ease of use, Equalum ingests data in real-time, as it is created, from any number of data sources. It processes and transforms the data before streaming it to any number of target applications or systems. Equalum technology harnesses the power of Apache Spark and Kafka, among other cutting-edge open source technologies, helping organizations rapidly accelerate past traditional CDC, ETL or open-source implementations with a zero-coding approach, intuitive design, and minimal maintenance.
Equalum was founded by Nir Livneh, former Senior Big Data Architect at Israeli Intelligence Forces and later the leader of products like Performance Analysis and Foglight at Quest Software and Erez Alsheich, CPO, 20 year veteran data architect, entrepreneur and engineer. Through their years of industry experience, they saw similar roadblocks facing technical teams as they sought to modernize systems: technical gaps, years of planning complex systems, coding gaps, multiple tools, system management and the list goes on. They recognized that many of the issues boiled down to a technical challenge - a solvable one at that - and Equalum was born.
Now serving enterprises and mid-size businesses around the world, Equalum continues its exponential rise as an award winning company to watch. Equalum is backed by established VC firms and serial entrepreneurs. The company has its main offices in Silicon Valley, the United Kingdom and Israel, along with regional offices around the globe.
Guy is a seasoned Executive with proven success driving expansion and market share for companies across the globe. He brings extensive experience in tackling new, diverse and emerging markets, building highly performant direct and partner sales teams, developing strategic greenfield opportunities and in fostering communities of excellence across geographically dispersed regions.
Nir is a thought leader with over 20 years of experience in Big Data architecture and performance. He led product management at Quest Software (Acquired by Dell) for all Big Data products. Nir also led Big Data architecture projects at the Israeli Military Intelligence unit (Equivalent to NSA). He is currently a member of the Forbes Technology Council.
Data platform professional with over 20 years of experience in various hands-on, executive and business development roles. Erez founded, led and sold two leading Israeli data platform consulting companies.
VP of R&D at multiple, successful global companies across various industries. Eyal brings over 15 years of experience working in key leadership positions, growing teams and product maturity. He has a degree in computer science from the Technion.
Seasoned data professional with more than 15 years of production experience as a data Architect, Data Engineer and CTO. Has vast hands-on experience in numerous data technologies across many industries.
25+ years of experience as global sales leader in the Data Software space developing leading sales teams in high growth environments. Skilled with complex Enterprise Software Sales, solving complex business problems with data technology solutions and helping customers maximize the value of their data via the use of streaming real-time data integration.
