Syncari is a modern Data Automation Platform that helps businesses solve costly data inconsistencies and integration challenges revenue teams face today. It is built specifically to help revenue leaders regain control of their data sources and integrations through intelligent data cleansing, merging, and augmentation.
Peaka is a Zero-ETL Data Platform that enables you to build a data stack in minutes instead of months.
With Peaka, you can integrate relational and NoSQL databases, SaaS tools, and APIs— all without a data warehouse or ETL processes.
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Peaka's answer:
What makes Peaka unique is its capability to make data integration accessible to organizations like startups and SMBs that lack the resources to employ large data teams.
Peaka's answer:
Our primary audience comprises startups willing to pull in data from different sources without having to invest in a costly data stack or employ large data teams.
Peaka's answer:
Peaka simplifies data integration and brings your data together without complicated ETL processes. Once your data is consolidated, you can then automate repetitive work and draw insights that can inform your decision-making.
Peaka's answer:
Peaka leverages data virtualization technology to create a semantic layer over scattered data sources. This new layer allows users to query data from any source without any physical ETL processes.
Peaka's answer:
Popupsmart, OneWell, Hop, and Actioner are among Peaka's biggest customers.
Peaka's answer:
Peaka started its life as Code2 - a no-code platform for developing customer-facing web apps. Having discovered that customers first needed to bring their data together before creating apps, the company went on to focus on simplifying data integration for non-technical people. In line with this new vision, the company rebranded itself as Peaka in 2023.
Based on our record, Syncari seems to be more popular. It has been mentiond 3 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.
It goes beyond just joining postgres to hubspot and stripe even when humans are doing it. Typos in source systems, duplicative data, unwarranted prefixes, suffixes, stuff you don't care about, columns named c0,c1,c2 etc. A semantic layer is just really all about defining data models in the domain of interest. It's the hardest part in dealing with data strategies, very manual, very company and process and history... - Source: Hacker News / about 1 month ago
Shameless plug on https://syncari.com. I'm a founder and this is part of our thesis as. A single data, control and analytics plane for all systems (CRM, internal systems, marketing, support, product usage and billing). - Source: Hacker News / about 2 months ago
Data extraction tools can be a valuable asset for businesses that need data integration and extraction from online sources. By following the steps outlined above, you can use these tools to efficiently and accurately redact and integrate your online data. - Source: dev.to / over 1 year ago
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