plamb

7 ms·

1.
Tibco Announces Acquisition of In-Memory Data Platform SnappyData(tibco.com)
2 points by plamb 8y ago|0 comments
2.
Benchmarking SnappyData with TPC-H: A Performance Report(snappydata.io)
1 points by plamb 8y ago|0 comments
3.
TPC-H Benchmark: Apache Spark vs. SnappyData(snappydata.io)
22 points by plamb 8y ago|2 comments
4.
Why every Spark Developer should care about Kubernetes(snappydata.io)
2 points by plamb 8y ago|0 comments
5.
Ask HN: Querying across microservices
4 points by plamb 8y ago|0 comments
6.
Real-Time Streaming ETL with SnappyData(snappydata.io)
9 points by plamb 8y ago|1 comments
7.
by plamb 9y ago
SnappyData employee here. In general this is called the "HTAP" industry (Gartner's phrase: Hybrid Transactional/Analytical Processing). SnappyData: https://www.snappydata.io , MemSQL: https://www.m
8.
SnappyData Takes on Aerospike: A Performance Benchmark(snappydata.io)
10 points by plamb 9y ago|0 comments
9.
Benchmarking Apache Spark with Kudu, Alluxio, Cassandra and SnappyData(snappydata.io)
7 points by plamb 9y ago|0 comments
10.
by plamb 9y ago
Worked on GemFire prior to Pivotal acquisition (before Geode) and currently work for SnappyData. You can imagine GemFire/Gridgain as an apples-to-apples comparison. Both are "enterprise" in-memory data grids originally intend
11.
Unifying data theory and practice: Combining operations, analytics and streaming(zdnet.com)
4 points by plamb 9y ago|0 comments
12.
by plamb 9y ago
SnappyData employee here -- This is essentially what we did. The main difference is that we already had a decade old transactional K/V store, that, over time morphed into a more full fledged in-memory database. That is what we integrat
13.
How Mutable DataFrames Improve Join Performance in Spark SQL(snappydata.io)
6 points by plamb 9y ago|0 comments
14.
Running Spark SQL CERN Queries 5x Faster on SnappyData(snappydata.io)
12 points by plamb 10y ago|0 comments
15.
by plamb 10y ago
Appreciate these comments, the site did not go through much testing before being deployed. Overflowing was modified to eliminate horizontal scroll on mobile but it looks like there were some vertical issues as well. We will get this fixed
16.
by plamb 10y ago
Our impression was that when Databricks released the billion-rows-in-one-second-on-a-laptop benchmark, readers were pretty awed by that result. We wanted to show that when you combine an in-memory database with Spark so it shares the same J
17.
by plamb 10y ago
Will look into this
18.
by plamb 10y ago
The font in the embedded gists or the font on the page?
19.
Joining a billion rows 20x faster than Apache Spark(snappydata.io)
153 points by plamb 10y ago|83 comments
20.
SnappyData: Unified cluster for streaming, transactions and interactive analytics [pdf](cidrdb.org)
3 points by plamb 10y ago|0 comments
21.
by plamb 10y ago
SnappyData: https://github.com/SnappyDataInc/snappydata
22.
SnappyData: Unified cluster for streaming, transactions and interactive analytics(blog.acolyer.org)
5 points by plamb 10y ago|0 comments
23.
SnappyData up to 20x faster than Spark Cache in 0.7(snappydata.io)
2 points by plamb 10y ago|0 comments
24.
The SnappyData iSight Cloud(youtube.com)
1 points by plamb 10y ago|0 comments
25.
How to Make Your Database 200x Faster Without Having to Pay More?(highscalability.com)
8 points by plamb 10y ago|0 comments
26.
The Spark Database(sparkdatabase.com)
3 points by plamb 10y ago|0 comments
27.
Spark 2.0, Structured Streaming and SnappyData(snappydata.io)
2 points by plamb 10y ago|0 comments
28.
by plamb 10y ago
There was a talk sort of on this topic at Spark Summit in June... Here is the part where 2.0 is mentioned: https://youtu.be/PViLT2E2WPQ?t=407
29.
by plamb 10y ago
It takes about as long as it takes to start up a Spark cluster, and you can interact with it entirely through Spark APIs if that's what you're comfortable with. It can also be used in "Split Cluster Mode" so you can use
30.
by plamb 10y ago
Github repo: https://github.com/SnappyDataInc/snappydata

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