Open Source SPL

Python offers multiple ways to filter and sort data, including list comprehensions and Pandas methods. Let’s compare these with SPL’s approach. red-gate.com/simple-talk/de…

Moving from Python to esProc SPL? In the last article, I covered setup and loading your first datasets. Now we’re diving into what makes SPL great for data analysis: core syntax, the table data structure, and common data operations. red-gate.com/simple-talk/de…

SPL Power: Solve trillion-scale spatiotemporal collision calculations in just 3 mins! Tackled a tough data problem SQL/Java/Python took >2h on 40C128G—SPL finished in 161s on a single 8C64G server!😍😀 dev.to/esproc_spl/spl…

SPL Power: Solve trillion-scale spatiotemporal collision calculations in just 3 mins! Tackled a tough data problem SQL/Java/Python took >2h on 40C128G—SPL finished in 161s on a single 8C64G server!😀🫶 dev.to/esproc_spl/spl…

SPL Power: Solve trillion-scale spatiotemporal collision calculations in just 3 mins! Tackled a tough data problem SQL/Java/Python took >2h on 40C128G—SPL finished in 161s on a single 8C64G server!😍🫶 dev.to/esproc_spl/spl…

SPL Power: Solve trillion-scale spatiotemporal collision calculations in just 3 mins! Tackled a tough data problem SQL/Java/Python took >2h on 40C128G—SPL finished in 161s on a single 8C64G server!😍😀🫶 dev.to/esproc_spl/spl…

@Cilantro_ai @akshay_pachaar Yes, new technologies always encounter various kinds of doubts, so innovation is difficult. However, there are always people doing it. The world needs innovation.

@akshay_pachaar @esProc_SPL Every few years something claims to outshine SQL for data work. SQL's still here. The bar isn't better benchmarks, it's whether anyone outside the project actually adopts it.

This can be a game changer in Data Analysis! 🔥 Introducing SPL: Structured Programming Language! 🚀 SPL by @esProc_SPL is an open-source versatile data analysis engine that significantly reduces your application costs. It outshines SQL, Java, and Python in the following areas: - Concise coding - High-performance algorithms - Lightweight framework - Reduction in development and hardware costs - Cost-effectiveness One unique advantage of ESProc SPL is its ability to handle both structured and semi-structured data effortlessly. ESProc SPL also uses a self-created SPL syntax that offers: - Simpler coding - Higher running efficiency - Large data format compatibility - And effortless integration with Python, R, and SQL. ✨ It efficiently solves real-world data problems such as slow batch jobs, high database pressure, and the cumbersome task of combining multiple data sources for computation. I have shared a link to their official blog post with real-world examples & case studies in the next tweet!👇

Tired of bloated DBs clogged with thousands of intermediate tables? 🗑️ Open-source SPL lets you store data in files & compute outside the database—faster, cheaper, and way more flexible. Say goodbye to costly storage & performance drag!😀🙃 dev.to/esproc_spl/dit…

Tired of bloated DBs clogged with thousands of intermediate tables? 🗑️ Open-source SPL lets you store data in files & compute outside the database—faster, cheaper, and way more flexible. Say goodbye to costly storage & performance drag!🫶 dev.to/esproc_spl/dit…

Tired of bloated DBs clogged with thousands of intermediate tables? 🗑️ Open-source SPL lets you store data in files & compute outside the database—faster, cheaper, and way more flexible. Say goodbye to costly storage & performance drag!😀 dev.to/esproc_spl/dit…

Tired of bloated DBs clogged with thousands of intermediate tables? 🗑️ Open-source SPL lets you store data in files & compute outside the database—faster, cheaper, and way more flexible. Say goodbye to costly storage & performance drag!😀🫶 dev.to/esproc_spl/dit…

Tired of data lakes choosing between high-fidelity raw data, robust computing power, or cost-efficiency? The "Impossible Triangle" just met its match—SPL! 🚀😀🥰 dev.to/esproc_spl/the… #DataLake #OpenSource #DataEngineering #SPL #TechInnovation #spl

Tired of data lakes choosing between high-fidelity raw data, robust computing power, or cost-efficiency? The "Impossible Triangle" just met its match—SPL! 😀 dev.to/esproc_spl/the… #DataLake #OpenSource #DataEngineering #SPL #TechInnovation #spl

Tired of data lakes choosing between high-fidelity raw data, robust computing power, or cost-efficiency? The "Impossible Triangle" just met its match—SPL! 🚀dev.to/esproc_spl/the… #DataLake #OpenSource #DataEngineering #SPL #TechInnovation #spl

Tired of data lakes choosing between high-fidelity raw data, robust computing power, or cost-efficiency? The "Impossible Triangle" just met its match—SPL! 🚀😀 dev.to/esproc_spl/the… #DataLake #OpenSource #DataEngineering #SPL #TechInnovation #spl

Most “Lakehouses” are just glued-together lakes & warehouses with slow, rigid SQL engines. Real unification needs open, schema-free compute that works directly on raw data — like @esProc SPL.🧐 dev.to/esproc_spl/lak…

Most “Lakehouses” are just glued-together lakes & warehouses with slow, rigid SQL engines. Real unification needs open, schema-free compute that works directly on raw data — like @esProc SPL.😇 dev.to/esproc_spl/lak…

Most “Lakehouses” are just glued-together lakes & warehouses with slow, rigid SQL engines. Real unification needs open, schema-free compute that works directly on raw data — like @esProc SPL.😋 dev.to/esproc_spl/lak…

Most “Lakehouses” are just glued-together lakes & warehouses with slow, rigid SQL engines. Real unification needs open, schema-free compute that works directly on raw data — like @esProc SPL.😀 dev.to/esproc_spl/lak…

According to the test result,The performance of SPL’s wide table is higher than joins performed in the two SQL databases (3-9 times faster), and even surpasses the wide table .It not only avoids wide table defects but increases performance by N times.🤓 dev.to/esproc_spl/are…