Big Data Investment Map 2014

Here’s an updated version of our Big Data Investment Map. I’ve collected information about ca. 50 of the most important Big Data startups via the Crunchbase API. The funding rounds were used to create a weighted directed network with investments being the edges between the nodes (investors and/or startups). If there were multiple companies or persons participating in a funding round, I split the sum between all investors.

This is an excerpt from the resulting network map – made with Gephi. Click to view or download the full graphic:

BigDataInvestmentMap_2014_Small

If you feel, your company is missing in the network map, please tell us in the comments.

The size of the nodes is relative to the logarithmic total result of all their funding rounds. There’s also an alternative view focused on the funding companies – here, the node size is relative to their Big Data investments. Here’s the list of the top Big Data companies:

Company Funding
(M$, Source: Crunchbase API)
VMware 369
Palantir Technologies 343
MongoDB, Inc. 231
DataStax 167
Cloudera 141
Domo 123
Fusion-io 112
The Climate Corporation 109
Pivotal 105
Talend 102

And here’s the top investing companies:

Company Big Data funding
(M$, Source: Crunchbase API)
Founders Fund 286
Intel 219
Cisco 153
New Enterprise Associates 145
Sequoia Capital 109
General Electric 105
Accel Partners 86
Lightspeed Venture Partners 72
Greylock Partners 63
Meritech Capital Partners 62

We can also use network analytical measures to find out about which investment company is best connected to the Big Data start-up ecosystem. I’ve calculated the Betweenness Centrality measure which captures how good nodes are at connecting all the other nodes. So here are the best connected Big Data investors and their investments starting with New Enterprise Associates, Andreessen Horowitz and In-Q-Tel (the venture capital firm for the CIA and the US intelligence community).

Investor Centrality Big Data Companies
1 New Enterprise Associates 0.0863 GraphLab, MapR Technologies, Fusion-io, MongoDB, Inc., WibiData, Pentaho, CloudFlare, The Climate Corporation, MemSQL
2 Andreessen Horowitz 0.0776 ClearStory Data, Domo, Fusion-io, Databricks, GoodData, Continuuity, Platfora
3 In-Q-Tel 0.0769 Cloudera, Recorded Future, Cloudant, MongoDB, Inc., Platfora, Palantir Technologies
4 Founders Fund 0.0623 Declara, CrowdFlower, The Climate Corporation, Palantir Technologies, Domo
5 SV Angel 0.0602 Cloudera, Domo, WibiData, Citus Data, The Climate Corporation, MemSQL
6 Khosla Ventures 0.0540 ParStream, Metamarkets, MemSQL, ClearStory Data, The Climate Corporation
7 IA Ventures 0.0510 Metamarkets, Recorded Future, DataSift, MemSQL
8 Data Collective 0.0483 Trifacta, ParStream, Continuuity, Declara, Citus Data, Platfora, MemSQL
9 Hummer Winblad Venture Partners 0.0458 NuoDB, Karmasphere, Domo
10 Battery Ventures 0.0437 Kontagent, SiSense, Continuuity, Platfora

3 thoughts on “Big Data Investment Map 2014”

  1. It would be really great if you could display either the VCs or the start-ups with a different symbol. Thus, understanding the fundamental relationships in your network plot would become even easier.

  2. The Top Investing Firms is a bit mis-labeled if I understand correctly. This really shows which firms participated in the highest rounds of financing on aggregate basis. This doesn’t show how much each firm actually invested which is what it sounds like. These firms could have been smaller players of large rounds and still made the list.

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