Vivek
@vivekuniyal
Enterprise Sales leader at @timescaledb, formerly @remote @snowflakedb @workato @delphix. Opinions my own; retweets are not endorsements.
At @TigerDatabase, we believe your application should define your stack, not be constrained by it. The future is open. check out my thoughts about it in our blog tigerdata.com/blog/escaping-…
If California was software, homelessness would be described as a feature, not a bug.
Everyone's building AI agents. Nobody knows what that means. Your "agent" probably just follows if-then rules. Real agents achieve 41% better performance because they think, not follow. Time to learn the difference (then build a real one in 10 minutes):🧵
Amazon copied our product in 2018. I thought we were dead. Last week: their competing product is shutting down. We’re still growing fast. And Amazon is now our biggest partner. The entrepreneurial whiplash is real. Let me tell you a story. November 2018. My wife and I are in…
Timescale is now TigerData 🐯🐅🐯 I joined @TimescaleDB in 2021 to help build the best time-series database. Four years later we’ve become something much bigger: @TigerData — the fastest Postgres for transactional, analytical and agentic workloads.
We're changing our name: Timescale is now TigerData! We're much more than time-series. TigerData is the fastest PostgreSQL platform powering transactional, analytical, and agentic workloads at 2,000+ companies including Mistral, Tesla, NASA, and JPMorgan. So we’re renaming—not to…
Timescale is now TigerData. This is an exciting day for us. Over the past 8 years, we’ve grown to power a large range of modern, operational workloads. Beyond time-series and sensor data, we’re powering developer tools, SaaS applications, AI-native games, RAG applications, and…
Timescale Newsletter - May 1-14, 2025 linkedin.com/pulse/timescal… #timescale #tech #news
🎉 We’re thrilled to be included in the TWiST500, a list of the top 500 private startups curated by @Jason and @twistartups. It's a special moment for us: 🕰️ Timescale was founded in 2015 with a mission to build the best database for time-series data. 📈 A decade later,…
🔥It’s Launch Week Day 3: Turn S3 into a continuous analytics feed. Unlock the full power of S3 + Postgres: Two game-changing capabilities from Timescale. Two new S3 powers: 👉Livesync for S3: Auto-sync CSV & Parquet files into Postgres within seconds of arrival 👉pgai…
🤖 PostgreSQL vs. Qdrant for vector search: new 50M vector benchmark Welcome to Day 2 of Timescale Launch Week → We compared Postgres (pgvector + pgvectorscale) vs. Qdrant on 50M embeddings. The results? 📈 At 99% recall, Postgres delivers sub-100ms query latencies and…
Here's 5 things I'm excited about from OpenAI's release of GPT 4.1 earlier this week
💡 Edge Computing: The Future of Real-Time IoT 🚀 As IoT grows, traditional cloud computing struggles with latency. Edge computing brings data processing closer to the source, enabling faster decisions, better security, and cost savings. Key benefits: 🔁 Low-latency: Real-time…
RTABench from @TimescaleDB is the new open-source, real-time analytics benchmark designed for reality. Built for how applications actually query data. Tap in at rtabench.com
Not all analytics are equal. If you're building real-time analytics into your app, you need: 🔹Multi-table joins 🔹Selective filters 🔹Fresh, mutable data 🔹Pre-aggregated views Most benchmarks don’t test for that. RTABench does. → rtabench.com Open source. Built…
ONE TRILLION METRICS PER DAY:🚀 @TimescaleDB 🧠🧡 tsdb.co/pg-petabytesca…
💥 Exciting news! We're going to be joining forces with @umh_app at @hannover_messe! Attending? Drop by our booth located in📍Hall 15, Booth G66. Timescale VP of Product, @ramonguiu, will be onsite. Book time with him directly here: timescale.typeform.com/to/nPIKL8uo?ty… You can also snag a…
Wild innovation at @TimescaleDB 🐯...where the robust and reliable (Postgres 🐘) gets the scalable real-time analytics capabilities its developer community always wanted. Can't-miss articles published so far this week on the latest #Timescale innovations: t.ly/znXlz
TimescaleDB 2.19 is now hot off the build pipelines: github.com/timescale/time… Key features: - Improved concurrency of INSERT, UPDATE and DELETE operations on the columnstore by no longer blocking DML statements during the recompression of a chunk. - Improved system performance…
[sneak peak] Upcoming @TimescaleDB 2.19 release significantly improves write I/O spikes while refreshing its continuous aggregates (incremental materialized views). Particularly useful whenever: - Creating new caggs on top of historical raw data, or - Supporting…
Traditional OLAP is showing its age. ⚠️ Pre-aggregated data cubes are slow, rigid, and ETL-heavy. Modern workloads need real-time analytics without batch processing overhead. TimescaleDB integrates OLTP + OLAP in PostgreSQL—fast queries on fresh data, no separate analytics DB.…